基于信噪比的高效WSN聚类方法

S. S., B. S, Ajitha X, Anitha K.M
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引用次数: 3

摘要

无线传感器网络是由空间上分布在无线网络中的具有传感器的独立设备组成的,这些设备观察环境条件。基于集群的事务是无线介质的网关,分布式节点在供电方面存在局限性。分组调度是无线网络中实现网络均衡和减少终端延迟的必要过程。在节能聚类方法中,基于信噪比的节点选择是最近发展起来的。在本文提出的过程中,整个分组数据按照高功率多级优先级调度进行调度,在集群和基站之间传输的调度数据由集群和基站之间的传输节点组成。根据簇头与基站之间的信噪比值选择传输节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal to noise ratio based clustering approach for energy efficient WSN
Wireless sensor network consists of independent device spatially distributed in the wireless network with sensor that observes the environment conditions. The cluster based transaction is the gateway of wireless medium and distributed nodes has limitations in power supply. Packet scheduling is the mandatory process in wireless networks to balance the network and minimize the end delay. In energy efficient clustering approach the SNR based node selection is the recent development. As in the proposed process, the overall packet data scheduled according to the High Powered Multilevel priority scheduling, the scheduled data transmitted between the clusters and the base station consists of transmission node in between them. The transmission node is been selected according to the SNR value between the cluster head and the base station.
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