Keywords: IoT, RFID, CoT: Integration of Cloud Computing and Internet of things. ... In the Internet of things (IoT) paradigm, many of the objects that surround us ...
International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-6, Issue-2)
Research Article February 2017
Special Issue on International Conference on Emerging Trends in Engineering (ICETE) -2017 Conference Held at Hotel Magaji Orchid, Sheshadripuram, Bengaluru, India.
Prominence of Internet of things with Cloud: A Survey Raghavendra Jadhav1, Rahul Kulkarni2, Shrivatsa D Perur3, Gururaj L Kulkarni4, Pavan Kunchur5 1, 2, 5 . Asst.Prof,Dept of Computer Science & Engineering, KLSGIT, Belagavi,Karnataka 34 , . Asst.Prof,Dept of Information Science & Engineering, KLSGIT, Belagavi,Karnataka Abstract:
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nternet of things (IoT) plays crucial role in the today’s world. The day by day needs of human being are increasing and as a result there is need for latest technology. IoT need other technologies like big data storage and therefore one more entity Cloud computing. Through the cloud the sharing of data take place very conveniently. IoT will encourage the development of new applications such as smart cities, grids, and transportation systems respectively and considers many parameters to provide services in appropriate way. Keywords: IoT, RFID, CoT: Integration of Cloud Computing and Internet of things. I. INTRODUCTION In the Internet of things (IoT) paradigm, many of the objects that surround us are on network in one form or another. Radio Frequency Identification (RFID) and sensor network technologies will gain importance to meet this new challenge, in which information and communication systems are invisibly embedded in the environment around us. This result in the generation of enormous amounts of data which have to be stored, processed and presented in a seamless, efficient, and easily interpretable form[1]. This model will consist of services that are commodities and delivered in a manner similar to traditional commodities. Cloud computing can provide the virtual infrastructure for such utility computing which integrates monitoring or storage devices, analytics tools, visualization platforms and client delivery. The cost based model that Cloud computing offers will enable end-to-end service provisioning for businesses and users to access applications on demand from anywhere[3]. ―Any time , Anywhere‖ [9] With the growing presence of WiFi and Fourth Generation - Long Term Evolution (4G-LTE) wireless Internet access, the evolution towards ubiquitous information and communication networks is already evident. However, for the IoT vision to successfully emerge, the computing paradigm will need to go beyond traditional mobile computing scenarios that use smart phones and portables, and evolve into connecting everyday existing objects and embedding intelligence into our environment. For usability the IoT demands: 1. A shared understanding of the situation of its users and their appliances, 2. Software architectures and pervasive communication networks to process and convey the contextual information to where it is relevant, and 3. The analytics tools in the IoT that aim for autonomous and smart behavior.
Figure 1. Internet of things schematic showing the end users and application areas based on data. [2] IoT was first coined by Kevin Ashton [1] in 1999 in the context of supply chain management. However, in the past decade, the definition has been more inclusive covering wide range of applications like health care, utilities and transport. Although the definition of ‗Things‘ has changed as technology evolved, the main goal of making a computer © 2017, IJERMT All Rights Reserved
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Jadhav et al., International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-6, Issue-2) sense information without the aid of human intervention remains the same. A radical evolution of the current Internet into a Network of interconnected ―objects‖ that not only harvests information from the environment (sensing) and interacts with the physical world(actuation/command/control), but also uses existing Internet standards to provide services for information transfer, analytics, applications, and communications. II. INTERNET OF THINGS To communicate and create a omnipresent replicated-objective world, there has been a growing interest in a ability of embedded devices, sensors, actuators which is as shown in Figure 1. To create a pervasive connection of ―things or nodes‖ across the network, the growth of the notion of the IOT and rapid development of technologies such as short-range mobile communication and as energy is a limiting factor for mobile devices, energy efficiency is expected. This will result in the generation of huge amount of data, which is to be stored, processed and accessed. For big data storage and analytics, a Cloud computing concept has been recognized. We can enable ubiquitous sensing services and powerful processing of sensing data streams beyond the capability of individual ―things‖ by the combination of cloud computing and IoT. Thus, innovations are stimulating in both fields. For example, cloud platforms allow the sensing data to be stored and used intelligently for smart monitoring and actuation with the smart devices. To achieve automated decision making a cloud, novel data formatting and fusion algorithms, machine learning methods, and Artificial Intelligence techniques can be implemented and run as centralized or distributed. [10,11] IoT will encourage the development of new applications such as smart cities, grids, and transportation systems. During the integration, Quality of Service (QoS) and Quality of Experience (QoE), as well as data security, privacy, and reliability, are considered as the critical concerns[7]. The integration of cloud computing and IoT demands for high quality for these parameters. With respect to the high-quality on integration of cloud and IoT includes some topics of benefits, the following categories: 1. Data communication management between IoT and cloud. 2. Machine to machine communication sharing in cloud. 3. Proper design and modifications with respect to protocols in the integration of cloud and __IOT (example Constrained Application Protocol (CoAP), Internet Protocol version 6 (IPv6) ). 4. Security, privacy and reliability of data in cloud and IoT integration. 5. Proper sharing of ubiquitous sensing services and applications in cloud environment. III. LAYERS OF IOT
Figure 2: Layers of IoT As depicted in Figure 2[3], there are five layers in IoT, which are: A. Business layer: Business layer is processing the data or services received from application layer. For management of IoT system including the applications and services are responsible of the business layer. The success of IoT technology depends on good business models. B. Application layer: Application layer couples business services and provides services to the end user (Web Service, User Interface (UI)). The application layer bridges the gap between the business layer and the boundary technology. C. Perception layer: The perception layer can be abstracted as sensing components/nodes, actuator components/nodes. Sensing components include sensors, RFID, barcode label, Quick Response Code (QR) codes, intelligent detection instruments and meters. Actuator Components include valve, switch, relay. Sensing components and actuator components realize signal acquisition and control functions. The collected information is forwarded to the Network layer for secure transmission. © 2017, IJERMT All Rights Reserved
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Jadhav et al., International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-6, Issue-2) D. Network layer: Network layer includes various bus such as the Controller Area Network (CAN) bus, the Recommended Standard (RS)- 485 bus, or wireless network such as Wireless Sensor Network (WSN), Bluetooth, WiFi, etc. It realizes communication connection between perception components, or between perception components and IoT gateway (coordinator). E. Middleware layer: Middleware layer is between application layer and network layer and it receive s the data from network layer and it takes decisions based on the performed results and forward that results to application layer using Simple Object Access Protocol (SOAP), JavaScript Object Notation (JSON) or Web services. IV. INTEGRATION OF CLOUD COMPUTING AND INTERNET OF THINGS
Figure 3: Integration of Cloud Computing And Internet of things [2] The adoption of the CoT concept enables new scenarios for smart services and applications based on the extension of Cloud through the ―things‖: 1. SaaS (Sensing as a Service), providing ubiquitous access to sensor data. 2. SAaaS (Sensing and Actuation as a Service), enabling automatic control logics implemented in the Cloud. 3. SEaaS (Sensor Event as a Service), dispatching messaging services triggered by sensor __events. 4. SenaaS (Sensor as a Service), enabling ubiquitous management of remote sensors. 5. DBaaS (DataBase as a Service), enabling ubiquitous database management. 6. DaaS (Data as a Service), providing ubiquitous access to any data. 7. EaaS (Ethernet as a Service), providing ubiquitous connectivity to remote devices. 8. IPMaaS (Identity and Policy Management as a Service), enabling ubiquitous access to __policy and identity management functionalities. 9. VSaaS (Video Surveillance as a Service), providing ubiquitous access to recorded video and implementing complex analyzes in the Cloud. V. CONCLUSION Internet of things to successfully emerge as the computing paradigm, it will need to go beyond traditional mobile computing scenarios that use only smart phones and portables, and evolve into connecting everyday existing objects and embedding intelligence into our environment. The adoption of the CoT concept enables new scenarios for smart services and applications based on the extension of Cloud through the ―things‖. REFERENCES [1] K. Ashton, That ‗‗Internet of Things‘‘ thing, RFiD Journal (2009) [2] J. Gubbi, R. Buyya, S. Marusic, M. Palaniswami, "Internet of things (IoT): A vision architectural elements and future directions", Future Gen. Comput. Syst., vol. 29, no. 7, pp. 1645-1660, 2013. [3] R. Khan, S. U. Khan, R. Zaheer, and S. Khan, ―Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges,‖ 2012 10th International Conference on Frontiers of Information Technology, pp. 257–260, 2012. [4] M. J. Booysen, S. Gilmore, S. Zeadally, G. J. van Rooyen,‖Machine-to-Machine (M2M) Communications in Vehicular MIH Media Lab”, KSSI transactions on internet and information systems Vol. 6, no. 2, February 2012. © 2017, IJERMT All Rights Reserved
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