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Integration of Cognitive Radio Sensor Networks and Cloud Computing: A Recent Trend

Integration of Cognitive Radio Sensor Networks and Cloud Computing: A Recent Trend

Yasir Saleem, Farrukh Salim, Mubashir Husain Rehmani
Copyright: © 2014 |Pages: 25
ISBN13: 9781466662124|ISBN10: 1466662123|EISBN13: 9781466662131
DOI: 10.4018/978-1-4666-6212-4.ch011
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MLA

Saleem, Yasir, et al. "Integration of Cognitive Radio Sensor Networks and Cloud Computing: A Recent Trend." Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges, edited by Mubashir Husain Rehmani and Yasir Faheem, IGI Global, 2014, pp. 288-312. https://doi.org/10.4018/978-1-4666-6212-4.ch011

APA

Saleem, Y., Salim, F., & Rehmani, M. H. (2014). Integration of Cognitive Radio Sensor Networks and Cloud Computing: A Recent Trend. In M. Rehmani & Y. Faheem (Eds.), Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges (pp. 288-312). IGI Global. https://doi.org/10.4018/978-1-4666-6212-4.ch011

Chicago

Saleem, Yasir, Farrukh Salim, and Mubashir Husain Rehmani. "Integration of Cognitive Radio Sensor Networks and Cloud Computing: A Recent Trend." In Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges, edited by Mubashir Husain Rehmani and Yasir Faheem, 288-312. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6212-4.ch011

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Abstract

Cognitive Radio Sensor Networks (CRSNs) are composed of sensor nodes equipped with Cognitive Radio (CR) technology with limited resources (e.g., storage, computational speed, bandwidth, security, etc.). In order to overcome resource limitation, cognitive radio sensor nodes are integrated with cloud computing, which provides computing resources (e.g., storage, computation, security, etc.) to sensor nodes. Therefore, the focus of this chapter is integration of cognitive radio sensor networks with cloud computing. In this chapter, the authors first provide background on cloud computing, cognitive radio networks, wireless sensor networks, and cognitive radio sensor networks. This chapter also describes benefits of this integration to both cognitive radio sensor networks and cloud computing, followed by advantages of using cloud computing in cognitive radio sensor networks. Furthermore, it provides applications of cloud-based cognitive radio sensor networks. In the end, the authors provide some issues, challenges, and future directions for such integration.

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