Research on LEACH algorithm based on double cluster head cluster clustering and data fusion
Hongjun Wang, Huiqing Chang, Hui Zhao, Youjun Yue · 2017
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.