Distributed joint routing and channel allocation algorithm in cognitive wireless mesh networks

Multiple channels can increase network capacity by transmitting traffic on different channels in an interference area. Firstly, an efficient distributed joint routing and channel allocation strategy for cognitive wireless mesh networks is proposed in this paper. The main purpose of this channel allocation strategy is to maintain the channel diversity in the neighborhood channels. Simulation results show that compared to the link-based channel allocation algorithm in wireless multichannel network, the average throughput approximately increases by 50%, and the average delay reduces by 50% with the new algorithm. Then, a channel merging algorithm is also proposed in the channel constrained situation. Simulation results also show that, after the implementation of the channel merging algorithm, the network average throughput and delay performance have been further improved significantly, too.