Selection of Sensing Nodes in Cognitive Radio System Based on Correlation of Sensing Information

Spectrum sensing is the necessary function to achieve spectrum sharing. Distributed and collaborative spectrum sensing can improve the sensing credibility greatly, however when there are too many sensing nodes in the cognitive radio system, for example IEEE802.22 Wireless Regional Area Network system, it will produce large signaling overhead. To reduce the signaling overhead, the selection of sensing nodes in cognitive radio system based on the correlation of sensing information is proposed in this paper. Our analysis and simulation results show that this method can reduce the number of sensing nodes remarkably and effectively.