基于标准差的无线传感器网络加权聚类算法

Faris Al-Baadani, S. Yousef, L. Al-Jobouri, Sourabh Bhart
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引用次数: 0

摘要

无线传感器网络(WSN)中的聚类技术是一种成熟的技术,可以避免向汇聚节点发送冗余数据,从而更好地利用稀缺的网络资源(如能源)。文献中提出的聚类算法大多涉及大量的消息交换,导致不必要的能量消耗。在本文中,我们提出了一种基于标准差的加权簇头选择算法来避免这种消息交换。该机制使用距离和连通性作为最优簇头选择的两个关键参数。仿真结果表明,该算法具有较低的丢包率、时延和控制开销。
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Standard deviation based weighted clustering algorithm for wireless sensor networks
Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head selection algorithm to avoid such message exchanges. The proposed mechanism uses distance and connectivity as two key parameters for optimal cluster head selection. Simulation results show that the proposed algorithm results in low packet drop, delay and control overhead.
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