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Hot-spot issue aware clustering for WSNs to extend stable operation period

机译:WSN的热点问题感知群集可延长稳定运行时间

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In existing energy-efficient clustering algorithms for Wireless Sensor Networks (WSNs), individual nodes usually experience significant differences in lifetime. The issue of some nodes depleting energy earlier than other is usually referred to as hot-spot issue in WSNs, which dramatically shortens the stable operation period of a network when all nodes are live with residual energy. This paper addresses hot-spot issue through equalizing individual node's lifetime throughout the network. The probability of nodes to become cluster-head (CH) in this algorithm is relevant to node distance to the sink and is subject to the individual node-lifetime equalization. When selecting CHs, the residual node energy is considered as well. Performance evaluation illustrates the effectiveness of our algorithm in terms of extending the stable operation period of the clustered WSNs.
机译:在用于无线传感器网络(WSN)的现有高能效群集算法中,单个节点通常在生命周期上会经历很大的差异。在无线传感器网络中,某些节点消耗的能量要比其他节点更早地消耗能量,这通常被称为热点问题,当所有节点都充满剩余能量时,这会大大缩短网络的稳定运行时间。本文通过均衡整个网络中单个节点的生存期来解决热点问题。在此算法中,节点变为簇头(CH)的概率与节点到接收器的距离有关,并且受各个节点生存期均衡的影响。当选择CHS,剩余节点能量被考虑。性能评估从扩展群集WSN的稳定运行时间方面说明了我们算法的有效性。

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