Internet of Things (IoT) based Smart Environment integrating various Business Applications ↔ Internet of Things IoT Based Smart Environment Integrating Various Business Applications and Recent Research Directions

EARLIER¶0-2

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 32 Internet of Things (IoT) based Smart Environment integrating various Business Applications Vimal Jerald A. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Albert Rabara S. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Daisy Premila Bai T. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India ABSTRACT Internet of Things (IoT) plays a vital role in Next Generation Networks. Ample number of research works in IoT is carried out in developing countries like India. Research and Development units of industries are working on connecting tiny devices and objects to infer and to measure environmental and ecological resources. Domestic applications are also in line with this research. This paper proposes an integrated smart environment based on IoT. Several sectors like agriculture, security and emergency, banking, Surveillances, meteorology, health care, education, government – e services, domestic appliances monitoring, traffic surveillance are integrated and the various objects and devices are connected using RFID technology. This paper also deals with how various sectors are connected by means of RFID technology and sensor networks. It also brings forth an idea of establishing IoT information Kendra which infers and processes the data extracted by the various sectors in the smart environment. Functioning of a cloud application based computing and data centre and an administration and management centre attached to IoT information Kendra is also discussed.

EARLIER¶0-4

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 32 Internet of Things (IoT) based Smart Environment integrating various Business Applications Vimal Jerald A. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Albert Rabara S. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Daisy Premila Bai T. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India ABSTRACT Internet of Things (IoT) plays a vital role in Next Generation Networks. Ample number of research works in IoT is carried out in developing countries like India. Research and Development units of industries are working on connecting tiny devices and objects to infer and to measure environmental and ecological resources. Domestic applications are also in line with this research. This paper proposes an integrated smart environment based on IoT. Several sectors like agriculture, security and emergency, banking, Surveillances, meteorology, health care, education, government – e services, domestic appliances monitoring, traffic surveillance are integrated and the various objects and devices are connected using RFID technology. This paper also deals with how various sectors are connected by means of RFID technology and sensor networks. It also brings forth an idea of establishing IoT information Kendra which infers and processes the data extracted by the various sectors in the smart environment. Functioning of a cloud application based computing and data centre and an administration and management centre attached to IoT information Kendra is also discussed. Keywords Internet of Things (IoT), RFID, IoT Information Kendra, Smart Environment. 1. INTRODUCTION Internet of Things [IoT] is a prevalent technology that is being emerged in information technology today. Since 1991 when IoT was proposed by Kevin Ashton, several research works are carried out in the field of IoT and its relevant technologies. Internet of (IoT) is an integrated part of Future Internet and could be defined as dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual ‘things’ have identities, physical attributes and virtual personalities and use intelligent interface and are seamlessly integrated into the information network [1]. Today, the term Internet of Things goes beyond Machine to Machine (M2M) communication by connecting of devices, systems and services that goes beyond covers variety of protocols, domains and applications. A survey by Gartner says there will be nearly 26 billion devices in IoT by 2020 [2]. The proliferation of many natural resources and devices which measure, infer and understand environmental indicators in communicating and actuating network which creates Internet of Things [3]. Earlier, all the physical objects are tagged and uniquely identified using RFID transponders and readers. Now, IoT has grown to the level of comprising various networks of applications, computers, devices and objects as well that are interconnected using mobile technologies like wired, wireless and mobile networks, Bluetooth, GPS systems and other evolving technologies [4]. The intelligent identification, positioning, tracking, monitoring and management system has been put into applications in various fields [5]. These days IoT has gained popularity by some of its applications like intelligent transport, electric meter reading, telemedicine monitoring and so on. Health care, transport, emergency services, defense, crowd monitoring, infrastructure monitoring, environment monitoring, building management and water quality check are fewer potential applications of IoT identified by different focus groups of Melbourne city [3]. Establishing a smart environment integrating various applications and domains may be feasible using IoT. Research works on the domain has its boundaries around a single domain or sector. IoT relying on exchange of information through radio frequency identification (RFID) and this has resulted various applications ranging from healthcare, construction, hospitality to transportation and many more [6]. The mentioned applications in various sectors have been used to develop a smart environment. In contrast, the proposed architecture is trying to establish a smart environment integrating different sectors and their applications using RFID technology and sensor network. IoT infrastructure requires integration of several complimentary technologies like sensor networks, RFID system, mobile communication, conventional network and desktop environment [7].

EARLIER¶0-4

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 32 Internet of Things (IoT) based Smart Environment integrating various Business Applications Vimal Jerald A. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Albert Rabara S. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Daisy Premila Bai T. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India ABSTRACT Internet of Things (IoT) plays a vital role in Next Generation Networks. Ample number of research works in IoT is carried out in developing countries like India. Research and Development units of industries are working on connecting tiny devices and objects to infer and to measure environmental and ecological resources. Domestic applications are also in line with this research. This paper proposes an integrated smart environment based on IoT. Several sectors like agriculture, security and emergency, banking, Surveillances, meteorology, health care, education, government – e services, domestic appliances monitoring, traffic surveillance are integrated and the various objects and devices are connected using RFID technology. This paper also deals with how various sectors are connected by means of RFID technology and sensor networks. It also brings forth an idea of establishing IoT information Kendra which infers and processes the data extracted by the various sectors in the smart environment. Functioning of a cloud application based computing and data centre and an administration and management centre attached to IoT information Kendra is also discussed. Keywords Internet of Things (IoT), RFID, IoT Information Kendra, Smart Environment. 1. INTRODUCTION Internet of Things [IoT] is a prevalent technology that is being emerged in information technology today. Since 1991 when IoT was proposed by Kevin Ashton, several research works are carried out in the field of IoT and its relevant technologies. Internet of (IoT) is an integrated part of Future Internet and could be defined as dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual ‘things’ have identities, physical attributes and virtual personalities and use intelligent interface and are seamlessly integrated into the information network [1]. Today, the term Internet of Things goes beyond Machine to Machine (M2M) communication by connecting of devices, systems and services that goes beyond covers variety of protocols, domains and applications. A survey by Gartner says there will be nearly 26 billion devices in IoT by 2020 [2]. The proliferation of many natural resources and devices which measure, infer and understand environmental indicators in communicating and actuating network which creates Internet of Things [3]. Earlier, all the physical objects are tagged and uniquely identified using RFID transponders and readers. Now, IoT has grown to the level of comprising various networks of applications, computers, devices and objects as well that are interconnected using mobile technologies like wired, wireless and mobile networks, Bluetooth, GPS systems and other evolving technologies [4]. The intelligent identification, positioning, tracking, monitoring and management system has been put into applications in various fields [5]. These days IoT has gained popularity by some of its applications like intelligent transport, electric meter reading, telemedicine monitoring and so on. Health care, transport, emergency services, defense, crowd monitoring, infrastructure monitoring, environment monitoring, building management and water quality check are fewer potential applications of IoT identified by different focus groups of Melbourne city [3]. Establishing a smart environment integrating various applications and domains may be feasible using IoT. Research works on the domain has its boundaries around a single domain or sector. IoT relying on exchange of information through radio frequency identification (RFID) and this has resulted various applications ranging from healthcare, construction, hospitality to transportation and many more [6]. The mentioned applications in various sectors have been used to develop a smart environment. In contrast, the proposed architecture is trying to establish a smart environment integrating different sectors and their applications using RFID technology and sensor network. IoT infrastructure requires integration of several complimentary technologies like sensor networks, RFID system, mobile communication, conventional network and desktop environment [7].

EARLIER¶0-4

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 32 Internet of Things (IoT) based Smart Environment integrating various Business Applications Vimal Jerald A. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Albert Rabara S. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India Daisy Premila Bai T. Dept. of Computer Science, St. Joseph’s College, Tiruchirappalli, Tamilnadu, India ABSTRACT Internet of Things (IoT) plays a vital role in Next Generation Networks. Ample number of research works in IoT is carried out in developing countries like India. Research and Development units of industries are working on connecting tiny devices and objects to infer and to measure environmental and ecological resources. Domestic applications are also in line with this research. This paper proposes an integrated smart environment based on IoT. Several sectors like agriculture, security and emergency, banking, Surveillances, meteorology, health care, education, government – e services, domestic appliances monitoring, traffic surveillance are integrated and the various objects and devices are connected using RFID technology. This paper also deals with how various sectors are connected by means of RFID technology and sensor networks. It also brings forth an idea of establishing IoT information Kendra which infers and processes the data extracted by the various sectors in the smart environment. Functioning of a cloud application based computing and data centre and an administration and management centre attached to IoT information Kendra is also discussed. Keywords Internet of Things (IoT), RFID, IoT Information Kendra, Smart Environment. 1. INTRODUCTION Internet of Things [IoT] is a prevalent technology that is being emerged in information technology today. Since 1991 when IoT was proposed by Kevin Ashton, several research works are carried out in the field of IoT and its relevant technologies. Internet of (IoT) is an integrated part of Future Internet and could be defined as dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual ‘things’ have identities, physical attributes and virtual personalities and use intelligent interface and are seamlessly integrated into the information network [1]. Today, the term Internet of Things goes beyond Machine to Machine (M2M) communication by connecting of devices, systems and services that goes beyond covers variety of protocols, domains and applications. A survey by Gartner says there will be nearly 26 billion devices in IoT by 2020 [2]. The proliferation of many natural resources and devices which measure, infer and understand environmental indicators in communicating and actuating network which creates Internet of Things [3]. Earlier, all the physical objects are tagged and uniquely identified using RFID transponders and readers. Now, IoT has grown to the level of comprising various networks of applications, computers, devices and objects as well that are interconnected using mobile technologies like wired, wireless and mobile networks, Bluetooth, GPS systems and other evolving technologies [4]. The intelligent identification, positioning, tracking, monitoring and management system has been put into applications in various fields [5]. These days IoT has gained popularity by some of its applications like intelligent transport, electric meter reading, telemedicine monitoring and so on. Health care, transport, emergency services, defense, crowd monitoring, infrastructure monitoring, environment monitoring, building management and water quality check are fewer potential applications of IoT identified by different focus groups of Melbourne city [3]. Establishing a smart environment integrating various applications and domains may be feasible using IoT. Research works on the domain has its boundaries around a single domain or sector. IoT relying on exchange of information through radio frequency identification (RFID) and this has resulted various applications ranging from healthcare, construction, hospitality to transportation and many more [6]. The mentioned applications in various sectors have been used to develop a smart environment. In contrast, the proposed architecture is trying to establish a smart environment integrating different sectors and their applications using RFID technology and sensor network. IoT infrastructure requires integration of several complimentary technologies like sensor networks, RFID system, mobile communication, conventional network and desktop environment [7].

EARLIER¶7-11

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 33 government and academia as well. This paper is focused to design and establish a smart environment integrating various sectors will have its significant contribution towards Digital India scheme. The paper is organized in the following manner. Section II depicts the architecture for integrated smart environment. Section III presents the functioning of IoT based information Kendra supported by cloud data and services centre and administrative management centre. Section IV emphasizes the challenges and issues in the proposed work. Section V concludes the paper with its future enhancement. 2. ARCHITECTURE FOR INTEGRATED IoT BASED SMART ENVIRONMENT Figure 1 : Architecture for Integrated IoT based Smart Environment This part of the paper explains the overall architecture for the smart environment. A layered framework for IoT based smart environment is also discussed. The functioning of RFID system is explicated. The various possible business applications and sectors to form the smart environment as well are dealt. 2.1 Integrated Smart Environment The integrated smart environment is designed with the various business applications like smart home system, smart health care, smart traffic surveillance, smart business system, smart agriculture system, smart E-governance system, smart whether monitoring system, smart education system, smart rescue and emergency system, Smart public distribution system and smart banking system. RFID tags and sensors are connected to the objects and things which are in the various business applications of the smart environment. The RFID system comprises of RFID antenna and readers infer the information from various domains and send them to middleware for further processing of data to be sent to IoT based information Kendra through conventional network. In IoT based information Kendra, data is processed based on the application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively.

EARLIER¶10-14

2.1 Integrated Smart Environment The integrated smart environment is designed with the various business applications like smart home system, smart health care, smart traffic surveillance, smart business system, smart agriculture system, smart E-governance system, smart whether monitoring system, smart education system, smart rescue and emergency system, Smart public distribution system and smart banking system. RFID tags and sensors are connected to the objects and things which are in the various business applications of the smart environment. The RFID system comprises of RFID antenna and readers infer the information from various domains and send them to middleware for further processing of data to be sent to IoT based information Kendra through conventional network. In IoT based information Kendra, data is processed based on the application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively. 2.2 Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 2. They are device layer (perception layer), middleware layer, network layer and application layer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer.

EARLIER¶10-15

2.1 Integrated Smart Environment The integrated smart environment is designed with the various business applications like smart home system, smart health care, smart traffic surveillance, smart business system, smart agriculture system, smart E-governance system, smart whether monitoring system, smart education system, smart rescue and emergency system, Smart public distribution system and smart banking system. RFID tags and sensors are connected to the objects and things which are in the various business applications of the smart environment. The RFID system comprises of RFID antenna and readers infer the information from various domains and send them to middleware for further processing of data to be sent to IoT based information Kendra through conventional network. In IoT based information Kendra, data is processed based on the application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively. 2.2 Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 2. They are device layer (perception layer), middleware layer, network layer and application layer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task.

EARLIER¶11-15

application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively. 2.2 Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 2. They are device layer (perception layer), middleware layer, network layer and application layer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task.

EARLIER¶11-15

application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively. 2.2 Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 2. They are device layer (perception layer), middleware layer, network layer and application layer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task.

EARLIER¶11-15

application where the actual data is inferred. The IoT information Kendra is supported with cloud applications and data centre and management administration centre for recommended external services and billing related services respectively. 2.2 Layered Framework for IoT based smart environment The layered framework for IoT based smart environment consists of four layers as shown in figure 2. They are device layer (perception layer), middleware layer, network layer and application layer. Each layer is described below in short. 2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task.

EARLIER¶13-17

2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains.

EARLIER¶13-17

2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains.

EARLIER¶13-17

2.2.1 Perception layer Perception layer is also known as device layer. All the sensor devices, RFID tags and various other physical objects belong to this layer. This layer is supported by the sensor network consists of sensors, RFID antennas, RFID readers. The sensor devices and RFID tags in the layer help to collect specific information related to the objects in the different business domains. The collected information may be location, temperature, sound, pressure, heart pulse, humidity, climatic International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains.

EARLIER¶14-18

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra

EARLIER¶14-18

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra

EARLIER¶14-18

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra

EARLIER¶14-19

International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 34 condition and so on. The inferred data is sent further to middleware layer. 2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra 2.3 Feasible Applications 2.3.1 . Smart Home IoT enables designing a smart home by variety of tasks like controlling appliances, power and gas consumption, home security, emergency identification and other similar applications 2.3.2 Smart Educational Environment: Student and Staff attendance, Class room and exam hall surveillance, Library book tracking, Laboratory equipments identification, campus security and emergency alert are few applications which may devices part of smart educational environment.

EARLIER¶15-19

2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra 2.3 Feasible Applications 2.3.1 . Smart Home IoT enables designing a smart home by variety of tasks like controlling appliances, power and gas consumption, home security, emergency identification and other similar applications 2.3.2 Smart Educational Environment: Student and Staff attendance, Class room and exam hall surveillance, Library book tracking, Laboratory equipments identification, campus security and emergency alert are few applications which may devices part of smart educational environment.

EARLIER¶15-19

2.2.2 Data Conversion Layer There may be several hetrogeneous signals from sensors and RFID tags in the tiny devices and objects attached to business applications integrated in the smart environment. The data collected in the form of hetrogenous signals can not be sent to the conventional network for further processing of data. Majority of the signals may be in analogous form. So, this layer is responsible for converting different signals inferred into data that could be sent through the conventional network. This layer consists of middleware which supports the conversion task. 2.2.3 Network Layer Network Layer is also known as transport layer which is responsible for fetching the data to IoT information kendra for processing. The decision making process based the on the data sent will be supported with cloud applications data centre and an adminstrative management centre. This layer is functions based on TCP/IP as it lays on conventional network. It consists of gateways, routers, switches, firewalls and servers. 2.2.4 Application Layer The application layer is comprised of all the business applications in the smart environment proposed. The functioning of each business sector differs by their applications and services. This layer is responsible for the decision making process based the data inferred from the objects and devices attached to the business domains. 2.3 RFID System RFID system contains the sensors and RFID tags attached tothe devices and objects in the business applications. The signals from the sensors and RFID tags received by the RFID antena. The RFID reader perceives the signals and in turn sends them to the middleware. The middleware onverts the signals into readable data by digital system. The data converted sent to IoT based information kendra 2.3 Feasible Applications 2.3.1 . Smart Home IoT enables designing a smart home by variety of tasks like controlling appliances, power and gas consumption, home security, emergency identification and other similar applications 2.3.2 Smart Educational Environment: Student and Staff attendance, Class room and exam hall surveillance, Library book tracking, Laboratory equipments identification, campus security and emergency alert are few applications which may devices part of smart educational environment.

EARLIER¶40-44

4.6 Security Attacks Information from the devices and objects connected to this smart environment are prone to security attacks like firsthand attack, gossip attack, observation attack, inference attack, automated invasion attack [1]. A proper security mechanism should be devised to address these mentioned attacks. 4.7 Data encryption and key management: Data encryption is also a major concern in the proposed smart environment. Encryption algorithms like AES, RSA, DH use keys of longer in length whereas Elliptic Curve Cryptography algorithm uses shorter length key. ECC is recommended for the data encryption because the devices and objects are very tiny and the heavy weight key exchange will prevent effective functioning [10]. 4.8 Security for Hardware The IoT Smart Environment will cover larger geographical area. There is a chance of intruders’ interventions towards the objects and sensor devices. Sensor data may be inferred by authorized sources by setting up their own RFID readers and other devices. Thus it is necessary to protect the devices and objects attached in the smart environment from intruder’s access, physical damage and malfunctioning. 4.9 Network Congestion As millions of objects and devices connected, certainly there will be network congestion in data transmission. The future research on IoT should also focus to avoid network congestion without data loss. Security measures should be taken to ensure the transmission of data without the external interferences. 5. CONCLUSION The proposed architecture for the IoT based Smart Environment will be another phase lift in Next Generation Network. A revolution in the domestic appliances is possible with the help of technological advancements. This paper described how IoT could integrate the different business domain under smart environment duly supported by IoT Information Kendra. The IoT information Kendra will serve general public with many services if they are established in each district or region. This paper has brought out some feasible applications in each domain. As the IoT based smart environment has enormous benefits the number of challenges and issues are many and they have to be addressed properly. The deployment of this proposed IoT based Smart Environment will be difficult but at the same time it has numerous benefits to the society in near future. 5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22.

EARLIER¶40-44

4.6 Security Attacks Information from the devices and objects connected to this smart environment are prone to security attacks like firsthand attack, gossip attack, observation attack, inference attack, automated invasion attack [1]. A proper security mechanism should be devised to address these mentioned attacks. 4.7 Data encryption and key management: Data encryption is also a major concern in the proposed smart environment. Encryption algorithms like AES, RSA, DH use keys of longer in length whereas Elliptic Curve Cryptography algorithm uses shorter length key. ECC is recommended for the data encryption because the devices and objects are very tiny and the heavy weight key exchange will prevent effective functioning [10]. 4.8 Security for Hardware The IoT Smart Environment will cover larger geographical area. There is a chance of intruders’ interventions towards the objects and sensor devices. Sensor data may be inferred by authorized sources by setting up their own RFID readers and other devices. Thus it is necessary to protect the devices and objects attached in the smart environment from intruder’s access, physical damage and malfunctioning. 4.9 Network Congestion As millions of objects and devices connected, certainly there will be network congestion in data transmission. The future research on IoT should also focus to avoid network congestion without data loss. Security measures should be taken to ensure the transmission of data without the external interferences. 5. CONCLUSION The proposed architecture for the IoT based Smart Environment will be another phase lift in Next Generation Network. A revolution in the domestic appliances is possible with the help of technological advancements. This paper described how IoT could integrate the different business domain under smart environment duly supported by IoT Information Kendra. The IoT information Kendra will serve general public with many services if they are established in each district or region. This paper has brought out some feasible applications in each domain. As the IoT based smart environment has enormous benefits the number of challenges and issues are many and they have to be addressed properly. The deployment of this proposed IoT based Smart Environment will be difficult but at the same time it has numerous benefits to the society in near future. 5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22.

EARLIER¶40-44

4.6 Security Attacks Information from the devices and objects connected to this smart environment are prone to security attacks like firsthand attack, gossip attack, observation attack, inference attack, automated invasion attack [1]. A proper security mechanism should be devised to address these mentioned attacks. 4.7 Data encryption and key management: Data encryption is also a major concern in the proposed smart environment. Encryption algorithms like AES, RSA, DH use keys of longer in length whereas Elliptic Curve Cryptography algorithm uses shorter length key. ECC is recommended for the data encryption because the devices and objects are very tiny and the heavy weight key exchange will prevent effective functioning [10]. 4.8 Security for Hardware The IoT Smart Environment will cover larger geographical area. There is a chance of intruders’ interventions towards the objects and sensor devices. Sensor data may be inferred by authorized sources by setting up their own RFID readers and other devices. Thus it is necessary to protect the devices and objects attached in the smart environment from intruder’s access, physical damage and malfunctioning. 4.9 Network Congestion As millions of objects and devices connected, certainly there will be network congestion in data transmission. The future research on IoT should also focus to avoid network congestion without data loss. Security measures should be taken to ensure the transmission of data without the external interferences. 5. CONCLUSION The proposed architecture for the IoT based Smart Environment will be another phase lift in Next Generation Network. A revolution in the domestic appliances is possible with the help of technological advancements. This paper described how IoT could integrate the different business domain under smart environment duly supported by IoT Information Kendra. The IoT information Kendra will serve general public with many services if they are established in each district or region. This paper has brought out some feasible applications in each domain. As the IoT based smart environment has enormous benefits the number of challenges and issues are many and they have to be addressed properly. The deployment of this proposed IoT based Smart Environment will be difficult but at the same time it has numerous benefits to the society in near future. 5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22.

EARLIER¶40-44

4.6 Security Attacks Information from the devices and objects connected to this smart environment are prone to security attacks like firsthand attack, gossip attack, observation attack, inference attack, automated invasion attack [1]. A proper security mechanism should be devised to address these mentioned attacks. 4.7 Data encryption and key management: Data encryption is also a major concern in the proposed smart environment. Encryption algorithms like AES, RSA, DH use keys of longer in length whereas Elliptic Curve Cryptography algorithm uses shorter length key. ECC is recommended for the data encryption because the devices and objects are very tiny and the heavy weight key exchange will prevent effective functioning [10]. 4.8 Security for Hardware The IoT Smart Environment will cover larger geographical area. There is a chance of intruders’ interventions towards the objects and sensor devices. Sensor data may be inferred by authorized sources by setting up their own RFID readers and other devices. Thus it is necessary to protect the devices and objects attached in the smart environment from intruder’s access, physical damage and malfunctioning. 4.9 Network Congestion As millions of objects and devices connected, certainly there will be network congestion in data transmission. The future research on IoT should also focus to avoid network congestion without data loss. Security measures should be taken to ensure the transmission of data without the external interferences. 5. CONCLUSION The proposed architecture for the IoT based Smart Environment will be another phase lift in Next Generation Network. A revolution in the domestic appliances is possible with the help of technological advancements. This paper described how IoT could integrate the different business domain under smart environment duly supported by IoT Information Kendra. The IoT information Kendra will serve general public with many services if they are established in each district or region. This paper has brought out some feasible applications in each domain. As the IoT based smart environment has enormous benefits the number of challenges and issues are many and they have to be addressed properly. The deployment of this proposed IoT based Smart Environment will be difficult but at the same time it has numerous benefits to the society in near future. 5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22.

EARLIER¶44-48

6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22. [2] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologies innovation, (May 2015) [3] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 1645–1660. [4] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The Internet of Things: Vision & Challenges. TENCON IEEE Spring Conference, 218-222. [5] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid Journal, 97-114. [6] Jebah Jaykumar, Abishline Blessy, 2014. Secure Smart International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015

EARLIER¶42-46

5. CONCLUSION The proposed architecture for the IoT based Smart Environment will be another phase lift in Next Generation Network. A revolution in the domestic appliances is possible with the help of technological advancements. This paper described how IoT could integrate the different business domain under smart environment duly supported by IoT Information Kendra. The IoT information Kendra will serve general public with many services if they are established in each district or region. This paper has brought out some feasible applications in each domain. As the IoT based smart environment has enormous benefits the number of challenges and issues are many and they have to be addressed properly. The deployment of this proposed IoT based Smart Environment will be difficult but at the same time it has numerous benefits to the society in near future. 5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22. [2] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologies innovation, (May 2015) [3] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 1645–1660.

EARLIER¶43-47

5.1 Future Enhancements The future research in IoT may concentrate on the challenges and issues discussed in the paper. Security is a major concern in the proposed environment integrating the different business applications. Security architecture for the proposed work may be designed in future to give integrated solutions solving different security issues like key management, intruder’s attacks, unauthorized access and network congestion. Future research efforts in IoT should also be focused to resolve interoperability as many devices and objects with heterogeneous functionalities are attached to the smart environment. The possible services with different nature with same data inferred and when required by many may cause poor quality of service. Research endeavors in future should also deal with the quality of service. 6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22. [2] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologies innovation, (May 2015) [3] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 1645–1660. [4] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The Internet of Things: Vision & Challenges. TENCON IEEE Spring Conference, 218-222. [5] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid

EARLIER¶44-48

6. REFERENCES [1] Dieter Uckelmann, Mark Harrison, Florian Michahelles, 2011. An Architectural Approach Towards the Future Internet of Things. Architecting Internet of Things by Springer,1-22. [2] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologies innovation, (May 2015) [3] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 1645–1660. [4] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The Internet of Things: Vision & Challenges. TENCON IEEE Spring Conference, 218-222. [5] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid Journal, 97-114. [6] Jebah Jaykumar, Abishline Blessy, 2014. Secure Smart International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015

EARLIER¶45-49

[2] Kevin C. Desouza, David Swindell, Kendra L. Smith, Alison Sutherland, Kena Fedorschak, and Carolina Coronel, 2015. Issues in Technologies innovation, (May 2015) [3] Jayavardhana Gubbi a , Rajkumar Buyya b, Slaven Marusic a , Marimuthu Palaniswami, 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 1645–1660. [4] Elkhodr, M. Shahrestani, S, Hon Cheung, 2013. The Internet of Things: Vision & Challenges. TENCON IEEE Spring Conference, 218-222. [5] K. Ashton, 2009. That ‘Internet of Things’ Thing. RFid Journal, 97-114. [6] Jebah Jaykumar, Abishline Blessy, 2014. Secure Smart International Journal of Computer Applications (0975 – 8887) Volume 128 – No.8, October 2015 37 Environment Using IoT based on RFID. International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2493-2496. [7] Manik Lal Das, 2013. Strong Security and Privacy of