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Research on LEACH algorithm based on double cluster head cluster clustering and data fusion

机译:基于双簇头簇聚类和数据融合的LEACH算法研究

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For the problems of uneven cluster distribution and excessive route energy consumption, which are caused by the clustering of low energy adaptive clustering algorithm (LEACH) in wireless sensor networks, an algorithm based on the clustering of double cluster heads and the data fusion mechanism of information entropy are proposed: In the cluster head selection algorithm, Select two levels of cluster heads in a well-divided cluster, two cluster heads perform different duties, this can be better to share the energy consumption, extend the network life cycle. Cluster head nodes use information entropy for classification and fusion, making the fusion results more accurate and data transmission more efficient. The algorithm is a good way to balance the energy consumption of nodes of a wireless sensor network composed of static location nodes, and extend the survival time of the network.
机译:针对无线传感器网络中低能量自适应聚类算法(LEACH)的聚类引起的集群分布不均,路由能耗过大的问题,提出了一种基于双簇头聚类和信息数据融合机制的算法。提出熵:在簇头选择算法中,在划分好的簇中选择两个级别的簇头,两个簇头执行不同的职责,这样可以更好地共享能耗,延长网络生命周期。簇头节点使用信息熵进行分类和融合,使融合结果更加准确,数据传输更加高效。该算法是一种平衡由静态定位节点组成的无线传感器网络的节点能耗并延长网络生存时间的好方法。

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