Bio – Inspired Optimal Weighted Fusion in Cooperative Spectrum Sensing For Cognitive Radio

Abstract

Software defined radio (SDR) uses the under-utilized spectrum by the dynamic spectrum allocation. Cooperative spectrum sensing is extensively used in software defined radio (SDR) for detecting white space in the licensed spectrum in a efficient manner. Selection of Fusion rule at Fusion center effect efficiency of spectrum sensing. In this research article we proposed a optimal weighted Fusion rule in which the weight of local decision node are altered until we get highest detection probability at the Fusion center. A Biological heuristic algorithm Cuckoo Search (CS) is used weight alteration. Simulation is being performed for proposed Fusion rule under the various parameter variations and compared with conventional hard, soft fusion rule. It is found that proposed Optimal Weighted Fusion rule work very effective than any Fusion rule.