中文摘要：

针对无线传感器网络中基于低能量自适应聚类层次（LEACH）算法进行分簇时出现的簇分布不均匀及路由能量消耗过快问题,提出一种基于双簇头聚类和数据融合的分簇算法.该算法在分好的簇中选择两个级别的簇头,两个簇头履行不同职责,能更好地均摊能量消耗,提高了分簇均匀性.仿真实验结果表明,该算法降低了网络能耗,提升了网络生命周期.

英文摘要：

We proposed an algorithm based on double cluster heads clustering and data fusion in wireless sensor network to solve the problems of uneven distribution of clusters and high energy consumption using low energy adaptive clustering hierarchy（LEACH）.In the improved protocol,the network uses a clustering algorithm to establish clusters,and then each cluster selects two CHs.One CH is close to sink node and transmits data from its cluster to sink node,and the other CH is close to centroid of the cluster and receives data from general nodes and performs data fusion.Simulation experiments show that the improved protocol reduces the energy consumption of network and extends the lifecycle of network.