Cooperative Spectrum Sensing with Optimal Clustered Architecture

Now a day the available radio frequency for wireless communication gets lesser day by day because of licensing.Cooperative spectrum sensing is proposed to overcome this problem by utilizing the cooperative diversity. For cooperative sensing, the cognitive base-station acts as a center controller to instruct the collaboration of cognitive users. However, when the number of users becomes very large, the crowding may occur on the control channel and the sensing delay may be too long to make valid decision. Cluster based cooperative sensing is proposed to tackle these problems. In, a cluster-based cooperative sensing method the performances of both distance and energy fusion schemes are investigated. However, it does not consider how many clusters are needed to maximize the efficiency of network with the guarantee of detection performance. The proposed cooperative sensing scheme with cluster-based architecture obtains the optimal number of clusters by balancing the tradeoff between efficiency and reliability. Furthermore, we propose a clustering strategy and compare it with the clustering scheme in by simulation.