认知无线Mesh网络中基于干扰模型的信道分配策略

Channel assignment strategy based on interference model in cognitive wireless Mesh networks

从信道干扰的角度为认知无线Mesh网络提出一种新的信道分配策略。首先对网络进行分层并按层对节点设置不同的层数权值,以此来选择最佳路径,再利用信道干扰模型来选择最佳信道。新策略有效整合了路由和信道分配过程,通过路由的实现来协助节点的信道分配以获得整个网络的最优化性能。仿真结果表明,新算法相比于无线多信道网络中基于链接的信道分配算法,在时延、吞吐量上有明显的优势。

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.