Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks

Abstract

Cooperative spectrum sensing (CSS) has been proposed to improve the reliability of decisions made about the presence of primary users in cognitive radio networks. However, new solutions are required to face various challenges in the implementation of CSS. Efficiency in energy consumption for CSS is a challenging issue, which should be solved through the effective management of sensors for CSS. In this paper, all the subsets of sensors, which cooperatively satisfy the desired sensing accuracy, are formed. Our aim is to propose a heuristic algorithm, which chooses the subset with minimum average energy consumption for CSS. In addition, a sub-optimal algorithm is proposed to reduce the computational complexity of the heuristic algorithm. The simulation results confirm the advantages of the proposed algorithms in terms of energy-efficient sensor selection for CSS and low complexity compared with the other state-of-the-art methods.