无线传感器网络调查中的聚类算法

Sathyapriya Loganathan, Jawahar Arumugam
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引用次数: 28

摘要

本文旨在对无线传感器网络(WSN)的聚类算法进行综述。几个实时应用都采用了具有先进特性的无线传感器网络。但是用于传感器节点的电池的容量和尺寸是有限的。在大多数户外应用中,电池更换或充电是非常困难的。因此,处理这种网络是问题之一。能源问题的最佳解决方案之一是集群。集群是通过基于集群的架构来平衡整个网络的能耗,从而延长网络的生命周期。传感器节点分组成簇;一个传感器节点选择作为每个集群的簇头。集群头传感器节点从其传感器成员节点收集数据并将其转发给汇聚节点。在基于集群的体系结构中,集群的形成和簇头节点的选择决定了网络的生存期。本文讨论了各种聚类算法的优缺点。提出了开发高效聚类算法的关键参数和克服局限性的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering Algorithms for Wireless Sensor Networks Survey
This paper aims to discuss a comprehensive survey on clustering algorithms for wireless sensor networks (WSN). The several real-time applications adopted the WSN with the advance features. But the capacity and size of the battery used in the sensor nodes are limited. Battery replacement or recharging is very difficult in most outdoor applications. Hence handling this kind of network is one of the issues. One of the best solutions to the energy issue is Clustering. Clustering is to balance the energy consumption of the whole network by cluster-based architecture to prolong the network lifetime. Sensor nodes grouped into clusters; one sensor node selects as the cluster head for each cluster. The cluster head sensor node collects the data from their sensor member nodes and forwards them to the sink node. In cluster-based architecture, cluster formation and the selection of the cluster head node decides the network lifetime. The paper discusses the for and against various clustering algorithms. It suggests the vital parameters for developing energy-efficient clustering algorithms and steps to overcome the limitations.
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来源期刊
Sensor Letters
Sensor Letters 工程技术-电化学
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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