Cognitive Radio (CR) is an emerging technology, which has the potential of being a disruptive technology, and will enable the future wireless world. In this radio, spectrum sensing is an appropriate tool to study surrounding environment in order to illustrate the suitable scenario for sharing spectrum between users.The main objective of spectrum sensingis to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. This paper discusses the optimization of sensing parameters in co-operative spectrum sensing using different newer nature inspired optimization algorithms, particle swarm optimization, genetic algorithm with or fusion rule scheme. While using particle swarm optimization, spectrum efficiency can be obtained upto 97.72 % of maximum efficiency but, in case of genetic algorithm it will reach up to 98.50 % with corresponding decrement of sensing time. Keywords: Cognitive radio, spectrum sensing, spectrum efficiencyCite this Article Ramesh J and Raman A. Optimization of Sensing Parameters Using PSO, GA Algorithms for Cognitive Radio.Recent Trends in Sensor Research and Technology. 2015; 2(3):23–30p.
