A Novel Wireless Power Transfer-Based Weighed Clustering Cooperative Spectrum Sensing Method for Cognitive Sensor Networks
作者： Xin Liu
DOI: 10.3390/S151127760
关键词:
摘要: In a cognitive sensor network (CSN), the wastage of sensing time and energy is challenge to cooperative spectrum sensing, when number nodes (CNs) becomes very large. this paper, novel wireless power transfer (WPT)-based weighed clustering model proposed, which divides all CNs into several clusters, then selects most favorable as cluster heads allows common received radio frequency (RF) primary node (PN) heads, in order supply electrical needed for cooperation. A joint resource optimization formulated maximize access probability CSN, through jointly allocating number. According results, algorithm proposed. The simulation results have shown that compared traditional model, proposed can achieve more transmission there exists optimal probability.
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