Genetic algorithm based sensing and channel allocation in cognitive ad-hoc networks

We present a novel out-of-band spectrum sensing and channel allocation scheme for frequency hopping based cognitive radio networks using genetic algorithm. Based on the optimized solution derived from GA, a set of nodes for sensing the next hopping channel and a set of nodes for transmitting data on current channel are derived. The channel allocation is performed according to individual traffic demand of each node. Simulation results show that the proposed scheme can achieve reliable spectrum sensing and efficient channel allocation.