An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks
Yu Qiao, Zilong Jin, Kan Yao, Tinghuai Ma · 2018
Detecting activity states of Licensed Users (LUs) has great significance for the utilization of limited radio spectrum, especially when activity states of licensed users can be more accurately detected. However, the spectrum detection will always have the wrong detection of a LU state, and it will result in increased communication overhead, extra network energy consumption, and node premature death. To deal with these issues, an energy-efficient cooperative spectrum sensing scheme is proposed which can select a representative sensor node set in Cognitive Radio Sensor Network (CRSN), under given constraints. The representative nodes set which consists of the nodes can provide gains for detecting the LU states is a subset of the nodes deployed in the network. Based on the spectrum detection information provided by the selected representative nodes, the D-S theory of evidence is employed to derive the activity states of LU while keeping the same spectrum sensing accuracy if not better. Simulation results indicate that the proposed scheme can improve the detection accuracy and reduce the energy consumption, as it efficiently reduces the number of sensor nodes which perform spectrum sensing and relative communication overhead among the nodes.