A Novel Spectrum Sensing Scheme Based on Wavelet Denoising with Fuzzy for Cognitive Radio Sensor Networks

Ability of cognitive radio (CR) is the most promising solution to solve problems of a common wireless sensor network (WSN), which is assumed to assign a fixed frequency band. Cognitive radio sensor network (CRSN) is the combination of CR’s ability into WSN to improve spectrum utilization of each wireless sensor nodes. In order to avoid interference to other users in CRSN, reliable detection of the licensed user signal in the interested spectrum band is a pre-requirement. If we do not know any information about licensed user signal, energy detection will be optimal detection method. However, the energy detector is strongly affected by noise and shadowing of sensing environment. In this paper, we propose a novel spectrum sensing based on wavelet denoising with fuzzy to make cognitive radio users to be high reliable sensor in noisy sensing environment. The simulation results demonstrate the effectiveness of the proposed scheme.