Cooperative spectrum sensing based on reputation in cognitive radio network

Abstract

The sensing performance improves as the number of secondary users for cooperative sensing increases in cognitive radios. However, too many cooperative users will make the whole sensing time unbearably long and consume huge system resource. To solve this problem, a new cooperative spectrum sensing method based on reputation was proposed. Only a few cognitive users with the highest reputation were selected to cooperate while guaranteeing a target error bound. The numerical and simulation results show that the proposed algorithm has higher robustness and it achieves better sensing performance when there exist attackers or malfunctioning cognitive users, compared with the conventional method.