Spectrum Sensing-Energy efficient on Cluster Based Cooperative Cognitive Radio Networks

Abstract

Cooperative Spectrum Sensing (CSS) is one of the proposed solutions to overcome the interference, path loss and shadowing effect. CSS is proposed also to enable secondary users to interact with the
primary users by exploiting spatial diversity. However, cooperative sensing is also facing one major issue which is the energy consumption in transmitting the sensing reports to the fusion center especially for a big numbers of cognitive radio users. In this paper, we propose a new cooperative spectrum sensing scheme based on group heads (GHs) where the cognitive users are sorted randomly into groups and the user having the highest SNR of reporting channel will be chosen to be the group head that will be authorized to send its sensing report to the fusion center. In the proposed scheme, only heads of groups are transmitting data to the FC which improves the green energy-saving cognitive communications in cognitive radio network. The simulation results show the high efficacy and efficiency of our scheme