Minimizing energy of cluster-based Cooperative Spectrum Sensing in CRN using Multi Objective Genetic Algorithm

Abstract

Cooperative spectrum sensing assumes an essential part in cognitive radio network due to having the capacity to enhance spectrum sensing performance and reduce probability of error in fading and shadowing channels. In fact, clustering scheme and cooperative spectrum sensing are combined to reduce Jostle of reporting channel, improve performance of sensing and reduce the computational cost. Many methods of cooperative spectrum sensing have been proposed based on clustering technique. In this paper, proposed approach will be suggested based on clustering to minimize the total power consumed by CRN in order to perform spectrum sensing, transmit decision to cluster head, and transmit the final decision to the fusion center. This is done by using multi objective genetic algorithm. Simulation results show that our proposed algorithm can achieve better energy gain which is less than conventional cluster based cooperative spectrum sensing scheme. Moreover, it increases performance of CRN.