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Fuzzy Logic based Cluster Head Selection method for Heterogeneous Wireless Sensor Networks

机译：基于模糊的基于逻辑的非均质无线传感器网络的簇头选择方法

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Energy conservation is a major challenging issue in the field of Wireless Sensor Networks (WSNs) since the sensor nodes are battery operated. Among the various topology control techniques, clustering is best and popular technique which provides both energy conservation and scalability. A cluster based routing protocols consists of mainly three phases: cluster head selection, cluster formation and data communication phase. In this paper, a fuzzy logic based cluster head selection method is proposed. In this method, energy of cluster head, node centrality and distance of node from the base station act as fuzzy descriptors to the Mamdani fuzzy inference system. The proposed Fuzzy Logic based Cluster Head Selection (FLCHS) method helps in balancing the load of nodes and leads to energy conservation. The proposed approach FLCHS is compared with the well known Stable Election Protocol (SEP) for heterogeneous networks. The FLCHS protocol performs better than SEP protocol in terms of network lifetime, energy consumption and throughput.
机译：由于传感器节点是电池供电，节能是无线传感器网络（WSNS）领域的一个主要具有挑战性的问题。在各种拓扑控制技术中，聚类是最佳和流行的技术，其提供节能和可扩展性。基于群集的路由协议主要由三个阶段组成：群集头选择，群集形成和数据通信阶段。本文提出了一种模糊基于逻辑的簇头选择方法。在该方法中，来自基站的集群头部的能量，节点中心和节点的节点距离充当Mamdani模糊推理系统的模糊描述符。所提出的模糊逻辑基的群集头选择（FLCHS）方法有助于平衡节点的负载并导致节能。将所提出的方法FLCH与非均质网络的众所周知的稳定选举方案（SEP）进行比较。在网络生命周期，能量消耗和吞吐量方面，FLCHS协议比SEP协议更好。

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