Energy efficient spectrum sensing for cognitive radio network using artificial bee colony algorithm

Abstract

In this paper Artificial Bee Colony (ABC) algorithm based optimization of energy efficiency for spectrum sensing in a Cognitive Radio Network (CRN) is implemented. ABC algorithm which is an efficient optimization technique is used for optimizing energy efficiency function derived for cognitive users, where energy efficiency function is derived as the dependency on spectrum sensing time and the transmission power. Energy efficiency optimized by ABC is compared with Particle Swarm Optimization (PSO) based technique. Simu-lation results shows that with ABC it is able to achieve more energy efficient spectrum sensing as compared to PSO optimized with a margin of 33% efficiency over PSO.