Energy-Efficient Cooperative Spectrum Sensing by Optimal Scheduling in Sensor-Aided Cognitive Radio Networks
A promising technology that tackles the conflict between spectrum scarcity and under-utilization is Cognitive Radio (CR), of which spectrum sensing is one of the most important functionalities. The use of dedicated sensors is an emerging service for spectrum sensing, where multiple sensors perform cooperative spectrum sensing. However, due to energy constraint of battery-powered sensors, energy-efficiency arises as a critical issue in sensor-aided CR networks. An optimal scheduling of each sensor active time can effectively extend the network lifetime. In this paper, the authors divide the sensors into a number of non-disjoint feasible subsets, such that only one subset of sensors is turned on at a period of time, while guaranteeing that the necessary detection and false alarm thresholds are satisfied.