一种基于优先级的移动自组网加权聚类算法

Sunil Pathak, Sonal Jain
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引用次数: 9

摘要

聚类的一个主要问题是聚类形成、聚类维护和合适簇头的选择中的挫折。本文提出了一种基于优先级的manet加权聚类算法,该算法采用三种方法来减少簇头变化和聚类开销。第一阶段根据集群内邻居节点的初始优先级动态确定集群头。第二阶段和第三阶段有助于在旧簇头电池剩余电量达到最小阈值或簇头不存在的情况下进行簇维护和自动选择新的簇头,没有任何延迟。仿真结果表明,该算法减少了簇头的频繁变化,减少了通信开销,提高了网络的传输效率。每个移动节点的优先级根据节点度和电池电量计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A priority-based weighted clustering algorithm for mobile ad hoc network
One major problem in clustering is the setback involved in cluster formation, cluster maintenance and in the selection of a suitable cluster head. In this paper we have proposed a priority-based weighted clustering algorithm for MANETs which works on three approaches to reduce cluster head changes and clustering overhead. The first phase helps to dynamically determine the cluster head based on their initial priority of neighbour nodes within cluster. The second and third phase helps in cluster maintenance and selecting the new cluster head automatically without any delay when remaining battery power of old cluster head reaches up to the minimum threshold value or in the absence of cluster head. From the simulation result, it is clear that the proposed algorithm reduces the frequent cluster head changes, communication overheads and also improves the efficiency of transmission in the network. Priority of each mobile node is calculated based on node degree and battery power.
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