Energy-conserving cluster method with distance criteria for cognitive radio networks

Abstract

Due to development in wireless communication, advanced technology is necessary to meet the growing demands in this field. Since the number of users increases, spectrum resources have to be utilized in a planned and effective manner. Cognitive Radio paves the way for proper spectrum utilization. Balancing energy consumption in Cognitive Radio can be obtained by clustering methods. In this paper, cluster-based cooperative sensing is analysed. Energy-conserving cluster method with distance criteria is proposed, where cluster heads are selected based on their distance from primary user and fusion center, and cluster members are grouped to the nearest cluster head, thereby reducing reporting energy brings conservation in overall energy. Also a relay assistance approach is proposed where relay users placed between cluster head and fusion center assist cluster head in times of low energy. An energy consumption analysis is made to compare the proposed method with conventional methods. Simulations are performed using MATLAB R2016a software, and it is observed that the proposed method conserves energy and improves detection.