Research on performance of automatic on-demand weighted clustering algorithm

LI Pai1; CHEN Xiang-dong1; BI Xue1; ZHANG Chuan-wu2

doi:10.13873/j.1000-97872007.07.001

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Research on performance of automatic on-demand weighted clustering algorithm

更新时间：2025-09-11

- Research on performance of automatic on-demand weighted clustering algorithm
- Issue 7, Pages: 27-30(2007)
- 作者机构：
  
  1. 西南交通大学信息科学与技术学院
  2. 西南民族大学电气信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.07.001
  CLC： TN929.5
- Published：2007
- 稿件说明：
移动端阅览
[1]李湃,陈向东,毕雪,张传武.一种新型自适应加权分簇算法的性能研究[J].传感器与微系统,2007(07):27-30.

LI Pai1, CHEN Xiang-dong1, BI Xue1, et al. Research on performance of automatic on-demand weighted clustering algorithm[J]. 2007, (7): 27-30.
[1]李湃,陈向东,毕雪,张传武.一种新型自适应加权分簇算法的性能研究[J].传感器与微系统,2007(07):27-30. DOI： 10.13873/j.1000-97872007.07.001.

LI Pai1, CHEN Xiang-dong1, BI Xue1, et al. Research on performance of automatic on-demand weighted clustering algorithm[J]. 2007, (7): 27-30. DOI： 10.13873/j.1000-97872007.07.001.

摘要

自适应加权（AOW）分簇算法是移动自组网中一种性能良好的分簇算法

在这里被引入无线传感器网络

并针对其算法复杂的缺点

提出一种简化的MAOW（mended AOW）算法。仿真结果表明:MAOW算法具有较低的复杂性

并在负载平衡性上有较大提升。介绍分簇算法的背景和相关定义

说明几种已有算法的特点

接着引入自适应加权算法

又重点提出改进的MAOW算法

最后

通过仿真对全部算法进行分析比较。

Abstract

Automatic on-demand weighted（AOW）clustering algorithm

which is introduced into the wireless sensor networks in this paper

is a clustering algorithm with a good performance in the mobile Ad Hoc networks.In order to reduce the complexity of the algorithm

a simpler algorithm MAOW is put forward.The simulation indicates that this scheme reduces the complexity and the balance of load has been greatly improved.The background of clustering algorithms and some related definitions are presented.The characteristics of several existing clustering algorithms are explained.Afterwards

The AOW algorithm is led and an improved MAOW algorithm has been described in detail.In the end

comparisons and analyses between MAOW and other clustering algorithms are performed by simulation.

关键词

Keywords

references

移动Ad hoc网络的分簇算法及性能比较 [J]. 王海涛. 北京邮电大学学报 . 2004(01)

短距离无线与移动通信网络[M]. 人民邮电出版社 , 方旭明,何蓉等编著, 2004

Multicluster, mobile, multimedia radio network [J] . Mario Gerla,Jack Tzu-Chieh Tsai. Wireless Networks . 1995 (3)

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