Dynamic Spectrum Sensing Using a Novel Accelerated Particle Swarm Optimization Algorithm

A novel optimization algorithm, called accelerated particle swarm optimization (APSO), is proposed to be used for dynamic spectrum sensing in cognitive radio networks. While modified swarm-based optimization algorithms focus on slight variations of the standard mathematical formulas, in APSO, the acceleration variable of the particles is also considered in the search space. We show that the proposed APSO-based dynamic spectrum sensing technique is more efficient than existing methods, which are entirely based on the original particle swarm optimization algorithm.