基于模糊认知图的智能配电网WSNs实时性与可靠性优化研究

Research on Real-Time and Reliability of Intelligent Distribution Network WSNs Based on Fuzzy Cognitive Map

为了降低智能配电网事故,提高智能配电网无线传感器网络(WSNs)数据通信的可靠性与实时性,探索了一种基于模糊认知图的智能配电网WSNs数据通信建模与控制的方法。首先,定性分析影响智能配电网WSNs数据传输的性能指标的主要因素,构建模糊认知图模型,根据网络环境的变化利用数学方法表达网络节点各概念顶点之间的因果关系;然后,再利用模糊认知图的方法进行推理,获得动态决策路由路径和调整网络参数的控制变量值;最后,对本文方法进行仿真实验,对数据传输性能进行了测试分析。实验结果表明所提出的方法可为智能配电网WSNs数据传输提供良好的Qo S(服务质量)。

In order to avoid the intelligent distribution network accident and improve the reliability and real time ofits WSNs data communication,a method to model and control the network WSNs date transmission is establishedwith efforts on the basis of the fuzzy cognitive map. At first,a qualitative analysis of the main factors affecting intelli-gent power distribution network WSNs data transmission performance index is made,the model of fuzzy cognitivemap is built. Then,according to the change of the network environment,we can express causal relation between thevarious elements of the concept-set vertex of WSNs network nodes. Secondly,a calculation method is proposed to ob-tain dynamic variable values which decides the routing path and adjusts the network parameters according to the in-ference of the fuzzy cognitive map theory. Finally,we conduct a simulation experiment on the proposed method andanalyze the performance of data transmission by testing. The experimental results show that the proposed methodcan provide sound Qo S for intelligent distribution network WSNs data communication.