Research on Nonreconstruction Spectrum Sensing Algorithm Based on Reputation Hierarchy

Cooperative multiple nodes spectrum sensing (CMSS) is an effective algorithm to solve the problem of deep fading and hidden terminal in single node spectrum sensing (SSS). Nonreconstruction cooperative multiple nodes spectrum sensing can reduce the computational complexity of the sampled covariance matrix (SCM) and improve the detection performance by dividing the channel into channel groups to obtain the value of the diagonal of the fused sampled covariance matrix. A two-stage spectrum sensing algorithm based on reputation hierarchy is proposed to solve the problem of spectrum sensing data falsification (SSDF) attack in cooperative multiple nodes spectrum sensing. The sensing data (SD) of the secondary users (SUs) and the sensing data of the honestly secondary user (HSU) are verified, then the reputation is leveled and the weight of the user in the Fusion Center (FC) is updated to reduce the influence of the detection performance degradation caused by the SSDF attack. The simulation results show that based on the nonreconstruction cooperative multiple nodes spectrum sensing algorithm, the two-stage spectrum sensing algorithm based on the reputation hierarchy can improve effectively the detection performance when there is SSDF attack.