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为了保证网络运行寿命,避免传统节点选取技术能耗和时延高的弊端,提出一种新的网络拓扑控制的节点稳定性选取技术。构建EETCA网络拓扑结构,研究网络拓扑的控制,控制过程主要包括簇头选择阶段、簇的建立阶段和稳定数据的传递阶段。建立节点选取模型,通过Hopfield网络模型减小检索范围,结合遗传法和Hopfield网络局部搜索法完成网络节点的稳定性选取。采用Hopfield网络局部搜索法生成父代基因库,求出每个染色体的适应度,确定遗传算子,生成子代基因库,得出最优解,获取节点稳定性选取结果。实验结果表明:所提技术能够保证网络使用寿命,且时延和能耗低。
In order to ensure the operation life of the network and avoid the drawbacks of high energy consumption and high delay of the traditional node selection techniques, a new node stability selection technique for network topological control is proposed. The EETCA network topology is constructed to study the control of network topology. The control process mainly includes the stage of cluster head selection, the stage of cluster establishment and the stage of stable data delivery. The node selection model is established, the retrieval range is reduced by Hopfield network model, and the stability selection of network nodes is completed by combining genetic algorithm and Hopfield network local search method. The Hopfield network local search method was used to generate the parental gene pool, the fitness of each chromosome was calculated, the genetic operator was determined, the gene bank of progeny was generated, the optimal solution was obtained, and the result of node stability selection was obtained. The experimental results show that the proposed technology can guarantee the service life of the network with low latency and energy consumption.