A improved weight based clustering algorithm in mobile ad hoc networks

Jing An, Chang Li, Bin Li
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引用次数: 16

Abstract

Clustering is an important concept for mobile ad hoc networks (MANETs), because clustering makes it possible to guarantee basic levels of system performance, such as throughput, delay and also security issues such as availability, in the presence of both mobility and large number mobile terminals. Many clustering protocols for MANETs have been proposed in the literature. As a newly proposed weighing-based clustering algorithm, the Weighted Clustering Algorithm (WCA) has excellent performance compared with other previous clustering algorithms. However, the high mobility of nodes will lead to high frequency of re-affiliations which will increase the network overhead and minimize the network lifetime. To solve this problem, we propose an improved weight based clustering algorithm (iWCA), the goals of the algorithm are maintaining stable clustering structure, minimizing the overhead for the clustering set up, maximizing lifetime of nodes in the system, and achieving good performance. The simulation results demonstrate the superior performance of the proposed algorithm.
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移动自组织网络中一种改进的基于权重的聚类算法
集群是移动自组织网络(manet)的一个重要概念,因为集群使得在移动性和大量移动终端存在的情况下,能够保证基本的系统性能水平,如吞吐量、延迟和可用性等安全问题。文献中已经提出了许多面向manet的聚类协议。加权聚类算法(Weighted clustering algorithm, WCA)作为一种新提出的基于权重的聚类算法,与以往的聚类算法相比具有优异的性能。然而,节点的高移动性将导致高频率的重新隶属关系,这将增加网络开销并最小化网络生命周期。为了解决这一问题,我们提出了一种改进的基于权重的聚类算法(iWCA),该算法的目标是保持稳定的聚类结构,最小化聚类设置的开销,最大化系统中节点的生命周期,并获得良好的性能。仿真结果证明了该算法的优越性能。
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