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首页> 外文期刊>Multidimensional systems and signal processing >Energy centroid clustering algorithm to enhance the network lifetime of wireless sensor networks
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Energy centroid clustering algorithm to enhance the network lifetime of wireless sensor networks

机译:能量质心聚类算法增强无线传感器网络的网络生命周期

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摘要

Wireless sensor networks (WSN) consists of dedicated sensors, which monitor and record various physical and environmental conditions like temperature, pollution levels, humidity etc. WSN is compatible with several applications related to environmental and healthcare monitoring. The sensor nodes have a limited battery life and are deployed in hostile environments. Recharging or replacement of the batteries in the sensor nodes are very difficult after deployment in inaccessible areas where energy is an important factor for continuous network operation. Energy efficiency is a major concern in the wireless sensor networks as it is important for maintaining network operation. In this paper, an energy efficient clustering algorithm based energy centroid and energy threshold has been proposed for wireless sensor networks. Here each cluster is designed to own 25% of the sensor nodes using distance centroid algorithm. Cluster head selection is based on the energy centroid of each cluster and energy threshold of the sensor nodes. Communication between the sink node and cluster head uses distance of separation as a parameter for reducing the energy consumption. The result obtained shows an average increase of 53% in energy conservation and network lifetime compared to Leach-B, Park Approach, EECPK-means Approach and MPST Approach.
机译:无线传感器网络(WSN)由专用传感器组成,该传感器由温度,污染水平,湿度等的各种物理和环境条件进行监控和记录各种物理和环境条件.WSN与与环境和医疗保健监测有关的若干应用程序兼容。传感器节点具有有限的电池寿命,并在敌对环境中部署。在能量是连续网络操作的一个重要因素的难以访问的区域中,在部署中,在传感器节点中的再充电或更换传感器节点中的电池非常困难。能效是无线传感器网络中的主要问题,因为它对于维持网络操作很重要。在本文中,已经提出了一种基于能量质心和能量阈值的无线传感器网络。这里每个集群都设计为使用距离质心算法拥有25%的传感器节点。群集头选择基于每个集群的能量质心和传感器节点的能量阈值。汇总节点和群集头之间的通信使用分离距离作为用于降低能量消耗的参数。与Leach-B,Park方法,EECPK-METION和MPST方法相比,所获得的结果显示了节能和网络寿命的平均增加了53%。

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