认知Mesh网络的动态分层图路由模型及路由策略
doi: 10.3724/SP.J.1146.2008.01162
Dynamic Layered-Graph Routing Model and Routing Policy in Cognitive Radio Mesh Networks
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摘要: 该文提出了在认知无线电Mesh网络环境下的动态分层图路由模型,该模型将节点感知范围内的信道可用性用两状态离散时间马尔可夫链建模,建立认知无线电Mesh网络拓扑和连通性的动态模型。基于该模型提出了一种跨层设计的动态接口分配方案。仿真结果表明,动态分层图模型在适应接入频谱的动态变化和描述认知无线电Mesh网络的拓扑结构方面,表现出比静态分层图模型更加优异的性能。Abstract: In this paper, a Dynamic Layered-Graph(DLG) routing model based on Cognitive Radio(CR) mesh networks is proposed .The channel which Cognitive Radio node can sense is modeled by a two states discrete time Markov chain and a model depict Cognitive Radio networks topology and connectivity is built up. A cross-layer design dynamic interface assignment policy is also proposed based on the model. Simulation results show that as the aspect of the adaptability of the dynamic access spectrum and depicting the topology of Cognitive Radio Mesh networks, the performance of Dynamic Layered-Graph model outperforms the Static Layered-Graph(SLG) model.
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