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Research and Improvement about LEACH Algorithm for Wireless Sensor Networks

机译:无线传感器网络浸出算法的研究与改进

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In Wireless Sensor Network (WSN), unreasonable node clustering algorithm will inevitably lead to premature death, unawareness of regional information. To address problems of traditional LEACH algorithm, An improved LEACH multi-hop routing algorithm based on Energy Distance Threshold (EDT) is presented. It mainly improves from aspects of cluster number, cluster head selection and inter-cluster communication. The improved clustering hierarchy algorithm considers the nodes Energy Distance Threshold as an important factor in selection then chooses the best cluster head within the area. The selection of cluster head is based on re-select manner, which dynamically and effectively select cluster heads by control cluster number and combing with EDT. After cluster head completes local data fusion and processing, it look for adjacent cluster head as next hop closer to base station with larger EDT if the head is far away from station. The next hop repeats above process till the base station is arrived. Such manner of multi-hop among clusters enables communication among clusters and base stations so as to avoid direct communication between head and station. The method reduces energy consumption and also balances energy. Simulation results show the improved LEACH algorithm has higher energy utilizing rate, and it helps prolong network's lifetime.
机译:在无线传感器网络(WSN)中,不合理的节点聚类算法将不可避免地导致过早死亡,区域信息不明智。为了解决传统浸出算法的问题,提出了一种基于能量距离阈值(EDT)的改进的LEACH多跳路由算法。它主要从集群编号,群集头选择和群集间通信的各方面提高。改进的聚类层次结构算法认为节点能量距离阈值作为选择中的重要因素,然后选择该区域内的最佳群集头。群集头的选择基于重新选择方式,它通过控制簇数动态和有效地选择群集头并与EDT梳理。在群集头完成本地数据融合和处理后,它将相邻的群集头作为下一跳,如果头部远离车站,则较较大的EDT。下一跳重复过程,直到基站到达。簇之间的这种多跳的方式使得能够在簇和基站之间进行通信,以避免头部和站之间的直接通信。该方法降低了能量消耗并使能源平衡。仿真结果表明,改进的浸出算法具有更高的能量利用率,有助于延长网络的寿命。

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