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Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks
International Journal of Fuzzy Systems ( IF 4.3 ) Pub Date : 2020-09-14 , DOI: 10.1007/s40815-020-00929-3
Thompson Stephan , Kushal Sharma , Achyut Shankar , S. Punitha , Vijayakumar Varadarajan , Peide Liu

With the increasing use of wireless terminals, wireless sensor networks (WSNs) have received significant attention owing to their wide usage in monitoring harsh environments, crucial surveillance and security applications, and other real-life applications. Sensor nodes in operation are equipped with batteries that are not rechargeable in most of the cases. Attaining the lifetime maximization of these nodes has drawn the attention of researchers in recent years. The clustering mechanism is highly successful in conserving energy resources for network activities and has become a promising field for researches to overcome the issues of battery-constrained WSNs. This research work implements zone-based clustering with the fuzzy-logic approach for dynamic cluster head (CH) selection. It aims to resolve the problem of unbalanced energy dissipation among the CHs in the network. The experimental results show that the proposed protocol outperforms the existing protocols in terms of maximizing the network lifetime.



中文翻译:

无线传感器网络中基于模糊逻辑启发的基于区域的聚类算法

随着无线终端的越来越多的使用,无线传感器网络(WSN)由于在监视严酷环境,关键监视和安全应用以及其他实际应用中的广泛使用而受到了广泛的关注。在大多数情况下,运行中的传感器节点配备了无法充电的电池。近年来,实现这些节点的最大使用寿命已引起了研究人员的关注。集群机制在节省网络活动能源方面非常成功,并且已成为克服电池受限无线传感器网络问题的有前途的研究领域。这项研究工作使用模糊逻辑方法实现基于区域的聚类,以进行动态聚类头(CH)选择。目的在于解决网络中各CH之间能量消耗不平衡的问题。实验结果表明,所提出的协议在最大程度地延长网络寿命方面优于现有协议。

更新日期:2020-09-15
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