Dynamic Control Channel MAC for Cognitive Radio Ad-Hoc Network: Ant Colony System

Abstract

Abstract—In this paper, we demonstrated a new approach for the optimal selection of control channel in an Ad-Hoc Cognitive Radio (CR) environment using the ant colony system (ACS). Critical examination of the existing control channel selection schemes reveal breaches. Our algorithm reduces the complex objective of selecting control channel from an overtly large spectrum space, to a path finding problem in a graph. We use pheromone trails, proportional to channel reward, computed based on received signal strength on channel, channel availability and commonality of channel to guide the construction of a ranking scheme for control channel selection. Simulation results eveal ACS as a feasible solution for optimal dynamic control channel selection.