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

机译：基于模糊逻辑的异构无线传感器网络簇头选择方法

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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：由于传感器节点由电池供电，因此节能是无线传感器网络（WSN）领域面临的主要挑战。在各种拓扑控制技术中，群集是最好的且流行的技术，可同时提供节能和可扩展性。基于集群的路由协议主要包括三个阶段：集群头选择，集群形成和数据通信阶段。本文提出了一种基于模糊逻辑的簇头选择方法。在该方法中，簇头的能量，节点中心点和节点到基站的距离充当了Mamdani模糊推理系统的模糊描述符。提出的基于模糊逻辑的簇头选择（FLCHS）方法有助于平衡节点的负载并节省能源。将所提出的方法FLCHS与针对异构网络的众所周知的稳定选举协议（SEP）进行了比较。就网络寿命，能耗和吞吐量而言，FLCHS协议的性能优于SEP协议。

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