Improvement of Network Throughput by Providing CAODV-Based Routing Algorithm in Cognitive Radio Ad Hoc Networks

摘要

In this paper, a CAODV-based routing approach is proposed which uses multi-channel and multi-path forwarding techniques to deal with the time-varying activities of PUs. We also benefited from a suitable channel selection strategy with the goal of increasing throughput. Our method allocates interference-free channels and, if data is entered or activated, each node will select a path. The proposed routing mechanism, in turn, considers the relay loading, and the interference of the common channel in the primary and secondary nodes. We use the Lyapunov optimization queuing model in a multi-channel network. What is clear from the simulation results is that the proposed protocol improves end to end delay, PDR and throughput performance significantly in comparison to another protocols such as SEARCH and CAODV.