Channel assignment strategy based on interference model in cognitive wireless Mesh networks
认知无线Mesh网络中基于干扰模型的信道分配策略*

This paper proposed a new channel assignment strategy based on channel interference model for the cognitive wireless Mesh networks (CogWMN). In order to choose the best path, the strategy first stratified CogWMN and set the value of weights according to layers, and then chose the best channel based on channel interference model. The new strategy effectively combined routing and channel assignment methods. By the route to assist in the realization of channel allocation of nodes, the entire network obtained the optimum performance. Simulation results show that compared to the link-based channel allocation algorithm in wireless multi-channel network, the new algorithm has an obvious advantage in the performance of delay and throughput.