A Flexible Weight Based Clustering Algorithm in Mobile Ad hoc Networks

Z. El-Bazzal, M. Kadoch, B. Agba, F. Gagnon, M. Bennani
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引用次数: 35

Abstract

Clustering has been proven to be a promising approach for mimicking the operation of the fixed infrastructure and managing the resources in multi-hop networks. In order to achieve good performance, the formation and maintenance procedure of clusters should operate with minimum overhead, allowing mobile nodes to join and leave without perturbing the membership of the cluster and preserving current cluster structure as much as possible. In this paper, we propose a Flexible Weight Based Clustering Algorithm (FWCA) in Mobile Ad hoc Networks. The goals are yielding low number of clusters, maintaining stable clusters, minimizing the number of invocations for the algorithm and maximizing lifetime of mobile nodes in the system. Through simulations we have compared the performance of our algorithm with that of WCA in terms of the number of clusters formed, number of re-affiliations, number of states transitions on each clusterhead and number of clusterheads changes. The results demonstrate the superior performance of the proposed algorithm.
移动Ad hoc网络中一种灵活的基于权值的聚类算法
集群已被证明是一种很有前途的方法来模拟固定基础设施的运行和管理多跳网络中的资源。为了获得良好的性能,集群的形成和维护过程应该以最小的开销运行,允许移动节点在不影响集群成员的情况下加入和离开,并尽可能地保持当前集群的结构。本文提出了一种灵活的基于权重的移动自组织网络聚类算法(FWCA)。目标是产生少量的集群,保持稳定的集群,最小化算法的调用数量,最大化系统中移动节点的生命周期。通过仿真,比较了该算法与WCA算法在簇形成数量、重新隶属关系数量、每个簇头状态转换数量和簇头变化数量等方面的性能。实验结果证明了该算法的优越性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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