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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在监视区域中执行传感和转发任务。由于传感器的资源限制和能效QoS要求,延长网络寿命是WSN中的主要问题。群集是一种减少能耗的有效方法,因为它可以减少网络的数据传输。在大多数传统的群集协议中,群集头(CH)聚集来自其群集成员(CM)的即将到来的数据,并将聚集的数据直接发送到远程接收器节点或向其他CH发出签证。但是,同时分配一个节点充当CH和中继节点可能会导致能量消耗不平衡。提出了一种高能效的重叠聚类和中继节点选择算法,该算法选择不同的节点作为CH和中继节点,以达到网络能耗的平衡。设计方向适应性度量以在重叠区域中选择适当的边界节点以用作中继节点。仿真结果表明,该算法大大延长了网络寿命。

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