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A Self-Adaptive Listen-Time Sleeping Algorithm Based on the Number of Neighbor Nodes for Wireless Mesh Sensor Networks

机译:一种自适应侦听时间睡眠算法,基于无线网状传感器网络的邻居节点数量

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Power saving is a very critical issue in wireless sensor network. Many schemes for power saving can be found in the literature, but these schemes barely consider different topology of nodes. In this paper, based on S-MAC algorithm, NALS-MAC algorithm is designed and combined with the characters of application background of wireless mesh sensor networks. According to the number of neighbor nodes, sensor nodes self-adaptively generate the listen-time during a period respectively. The node with more neighbors will have longer listen-time, because more neighbors means higher probability of heavy traffic. The nodes need longer time to deal with information than nodes with low traffic. The results show that the sensor nodes adjusting the listen-time self-adaptively in proper way achieves the reduction of end-to-end delay and enhance throughout.
机译:省电是无线传感器网络中的一个非常关键的问题。可以在文献中找到许多省电方案,但这些方案几乎没有考虑不同节点的拓扑。本文基于S-MAC算法,NALS-MAC算法设计并与无线网状传感器网络应用背景的特征组合。根据邻居节点的数量,传感器节点分别在一段时间内自适应地生成侦听时间。具有更多邻居的节点将具有更长的侦听时间,因为更多邻居意味着较高的流量概率。节点需要更长的时间来处理信息,而不是具有低流量的节点。结果表明,传感器节点以适当的方式调整侦听时间自适应,实现了端到端延迟的减少和始终增强。

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