Cooperative spectrum sensing based on node recognition in cognitive radio networks

Sometime, fault or malicious nodes send some wrong information deliberately and disturb the cooperative spectrum sensing in cognitive radio networks. According to the historical sensing information of sensing nodes, this paper proposes a cooperative spectrum detection algorithm which is based on the node recognition. In the algorithm, all of sensing nodes are grouped into reliable nodes, fault or malicious nodes and unreliable nodes. The fault or malicious nodes are discarded in fusion center and prevented from data fusion. Meanwhile, the present local detection results of the unreliable nodes are not considered in the current global decision. In this way, not only the effect of fault or malicious nodes on global decision is eliminated, but also the calculation complexity of fusion center is reduced. The simulation results show that the proposed algorithm can avoid the interference of fault or malicious nodes and improve the spectrum sensing performance effectively.