MULTI-POPULATION FIREFLY ALGORITHM (MFA) FOR RELAY ASSISTED EFFICIENT ROUTING IN COGNITIVE RADIO AD-HOC NETWORKS (CRAHN)

The existing routing techniques in Cognitive Radio ad-hoc networks (CRAHN) do not consider the delay, energy consumption, interference, traffic load parameters and success rate of data delivery. In order to solve these problems, in this paper, we propose to design a relay assisted cost effective routing protocol for CRAHNS. In this routing protocol, some of the secondary users are designated as relay nodes along the route towards the destination. Multi-population Firefly Algorithm (MFA) is used to establish the routing path based on the Interference to PUs, Number of Hops and Average current traffic load, Packet reception ratio and Average residual energy metrics. By simulation results, we show that the proposed technique improves the data delivery rate and reduces the energy consumption.