Sensor Cloud: The Scalable Architecture for Future Generation Computing
In this paper, we propose a hybrid computational paradigm associated with cloud computing and wireless sensor network. Attempts have been made to devise a protocol that establishes communication between sensors and cloud resources. The objective is to inc
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Abstract In this paper, we propose a hybrid computational paradigm associated with cloud computing and wireless sensor network. Attempts have been made to devise a protocol that establishes communication between sensors and cloud resources. The objective is to increase the availability of real-time sensor information across the users. Further, it will be possible to share the information of various application-specific sensor network deployed at various locations. We suggest a virtualization for sensor versus cloud and cloud versus users. This will facilitate the user to visualize sensor network and cloud.
Keywords Sensor network Cloud computing platform Ubiquitous health care
Virtualization Sensor cloud
1 Introduction In the past few years, wireless sensor networks (WSNs) have been gaining increasing attention. Wireless sensor network (WSN) seamlessly couples the physical environment with the digital world. Sensor nodes cooperatively monitor conditions at different locations such as temperature, humidity, vehicular movement, lightning condition, pressure, soil makeup, noise levels, the presence or absence of certain kinds of objects, mechanical stress levels on attached objects, S. Mohapatra (&) B. Majhi Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India e-mail: [email protected] B. Majhi e-mail: [email protected] S. Patnaik Department of CSE, ITER, Siksha ‘O’ Anusandhan University, Bhubaneswar, India e-mail: [email protected]
D. P. Mohapatra and S. Patnaik (eds.), Intelligent Computing, Networking, and Informatics, Advances in Intelligent Systems and Computing 243, DOI: 10.1007/978-81-322-1665-0_41, Springer India 2014
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the current characteristics such as speed, direction, and size of an object [1, 2]. Sensor nodes are small, low power, low cost and provide multiple functionalities such as sensing capability, processing power, memory, communication bandwidth, and battery power [1]. In aggregate, sensor nodes have substantial data acquisition and processing capability. These are useful in many application domains like environment, health care, education, defense, manufacturing, and smart home [3, 4]. If we add this collection of sensor-derived data to various Web-based social networks or virtual communities, we can have remarkable transformation in community sensing application. Our primary goal is to facilitate connecting sensors, people, and software objects to build community-centric sensing applications where people can share and analyze real-time sensor data. For example, the virtual community of doctors for monitoring patient health care using various sensors and analyzing the real-time data for critical decision [5, 6]. Day by day, the use of internet is increasing as well as the style of using internet is also changing. Users are expecting to get services in a plug and play fashion. Service scalability, reliability, and availability have become a major concern. To provide real-time infor
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