  In this paper, a novel optimization algorithm, called the acceleration-aided
particle swarm optimization (AAPSO), is proposed for reliable dynamic spectrum
sensing in cognitive radio networks. In A-APSO, the acceleration variable of
the particles in the swarm is also considered in the search space of the
optimization problem. We show that the proposed A-APSO based spectrum sensing
technique is more efficient in terms of performance than the corresponding one
based on the standard particle swarm optimization algorithm.
