A cluster based cooperative technique for Spectrum Sensing using Rely Factor

Recently, a low cost and reliable remote sensing infrastructure has emerged as one of the fundamental requirements for communication in sensor nodes of Cognitive Radio (CR) applications. To achieve this, an Energy Efficient Wireless Sensor Network (EEWSN) has significant importance for monitoring the entire CR Network (CRN). The foremost important aspect in CRN is the spectrum sensing for which different techniques have been proposed. In this paper, a Rely Factor (R-F) based scheme is proposed with Cluster based Cooperative Spectrum Sensing (CCSS) to reduce the bandwidth limitations in CRN using energy detection, which is the least complex spectrum sensing technique. The R-F based scheme is worked out on Signal to Noise Ratio (SNR), local sensing difference and threshold of energy detector of each sensor node. All these factors are combined using Fuzzy Logic to enhance the detection performance of sensor nodes. The results are shown in the form of Receiver Operating Curves (ROC) by simulations.