A comprehensive sensor selection method based on energy constraints for cooperative spectrum sensing

In order to improve the accuracy of the identification of Primary Users (PU) in Cognitive Radio Networks (CRNs), Cooperative Spectrum Sensing (CSS) has been introduced. However, there are various challenges in the implementation of CSS which should be properly addressed. One of the most challenging issues which should be considered is the energy consumption for CSS. In this paper, the purpose is to solve such an issue through the effective management of sensors for CSS. In order to do so, a sensor selection algorithm for CSS is proposed for a CRSN including sensors with various detection capabilities. The proposed algorithm selects the appropriate sensors satisfying the desired exactitude of CSS while their energy constraints are carefully considered. The simulation results confirm the benefits of the proposed algorithm in term of energy efficiency compared to other state-of-the-art methods.