A Novel Wireless Power Transfer-Based Weighed Clustering Cooperative Spectrum Sensing Method for Cognitive Sensor NetworksReportar como inadecuado




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College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China





Academic Editor: Davide Brunelli

Abstract In a cognitive sensor network CSN, the wastage of sensing time and energy is a challenge to cooperative spectrum sensing, when the number of cooperative cognitive nodes CNs becomes very large. In this paper, a novel wireless power transfer WPT-based weighed clustering cooperative spectrum sensing model is proposed, which divides all the CNs into several clusters, and then selects the most favorable CNs as the cluster heads and allows the common CNs to transfer the received radio frequency RF energy of the primary node PN to the cluster heads, in order to supply the electrical energy needed for sensing and cooperation. A joint resource optimization is formulated to maximize the spectrum access probability of the CSN, through jointly allocating sensing time and clustering number. According to the resource optimization results, a clustering algorithm is proposed. The simulation results have shown that compared to the traditional model, the cluster heads of the proposed model can achieve more transmission power and there exists optimal sensing time and clustering number to maximize the spectrum access probability. View Full-Text

Keywords: cognitive sensor network; cooperative spectrum sensing; wireless power transfer; spectrum access; resource optimization cognitive sensor network; cooperative spectrum sensing; wireless power transfer; spectrum access; resource optimization





Autor: Xin Liu

Fuente: http://mdpi.com/



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