文章基本信息

标题：Energy-efficient selection of cluster headers in wireless sensor networks
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作者：Adem Fanos Jemal ; Redwan Hassen Hussen ; Do-Yun Kim 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2018
卷号：14
期号：3
页码：1
DOI：10.1177/1550147718764642
出版社：Hindawi Publishing Corporation
摘要：Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.
关键词：Wireless sensor networks; cluster head selection; energy efficiency; K-means algorithm