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一种改进的LEACH模型及其仿真分析

     

摘要

To prolong the network lifetime effectively,the traditional low energy adaptive clustering hierarchy algorithm can be improved in WSN,improved algorithm named LEACH-EC. A high-probability selecting mechanism is introduced to select the clustering head node at broadcasting phase. This new algorithm for wireless sensor network main difference from traditional LEACH is that the LEACH -EC considers the node's remaining energy and the node's location. Simulation results show that the LEACH-EC algorithm can reduce and balance the energy consumption of nodes,and prolong the network lifetime more effectively than the traditional LEACH.%为了最大限度地延长无线传感器网络生命周期,对无线传感器网络传统路由算法低功耗自适应聚类LEACH进行改进,改进后的算法命名为LEACH-EC.在广播阶段选取簇头节点时引入高概率选取机制,根据节点的剩余能量和节点的集中度选取簇头节点,选取的簇头节点兼顾了节点剩余能量和节点分布状况.实验结果表明,LEACH-EC算法选取的簇头节点性能较优,能有效地减少簇内节点传输能量消耗.因此,LEACH-EC算法能够均衡无线传感器网络能耗负载,延长无线传感器网络生命周期.

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