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An energy efficient clustering and relay node selection algorithm in wireless sensor networks

机译:无线传感器网络中的节能聚类和中继节点选择算法

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Wireless sensor networks utilize large numbers of sensors to perform sensing and forwarding tasks in the monitoring area. Due to the resources constraints of sensors and the energy efficiency QoS requirement, prolonging the network lifetime is a major concern in WSNs. Clustering is an efficient approach to reduce energy consumption since it can reduce data transmission of the network. In most traditional clustering protocols, the cluster heads (CHs) aggregate the coming data from their cluster members (CMs) and send the aggregated data to the remote sink node directly or visa other CHs. However, assigning a node to serve as CHs and relay nodes simultaneously may result in unbalanced energy consumption. An energy efficient overlapping clustering and relay node selection algorithm is proposed, which selects different nodes as CHs and relay node to attain the balancing of energy consumption of the network. A direction fitness metric is designed to select the proper boundary nodes in the overlapping area to serve as relay nodes. Simulation results show that the proposed algorithm significantly prolongs the network lifetime.
机译:无线传感器网络利用大量传感器来执行监控区域中的传感和转发任务。由于传感器的资源限制和能效QoS要求,延长网络寿命是WSNS​​中的主要问题。聚类是一种有效的方法来降低能量消耗,因为它可以减少网络的数据传输。在大多数传统聚类协议中,群集头(CHS)将即将到来的数据从其群集成员(CMS)聚合,并直接将聚合数据发送到远程宿节点或签证其他CHS。然而,分配以同时用于CHS和中继节点的节点可能导致能量消耗不平衡。提出了一种节能重叠聚类和中继节点选择算法,其选择不同的节点作为CHS和中继节点以获得网络的能量消耗的平衡。方向适合度量旨在选择重叠区域中的适当边界节点以用作中继节点。仿真结果表明,该算法显着延长了网络寿命。

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