Improved AOW clustering algorithms for wireless self-organized network and performance analysis

Haitao Wang, Hui Chen, Lihua Song
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引用次数: 4

Abstract

In wireless self-organized network (WSON), AOW clustering algorithms can achieve better performance and high adaptability, but having limitations in certain circumstances. In this paper, working procedure and shortcomings of AOW are introduced and analyzed firstly. Then, several modified algorithms based on AOW are designed according to system requirements. Simulation experiments are conducted to compare modified algorithms and original AOW algorithm and simulation results show modified algorithms can improve overall performance of clustering network further in specific scenarios.
改进的无线自组织网络AOW聚类算法及性能分析
在无线自组织网络(WSON)中,AOW聚类算法可以获得更好的性能和高适应性,但在某些情况下存在局限性。本文首先介绍和分析了AOW的工作流程和存在的不足。然后,根据系统需求,设计了几种基于AOW的改进算法。通过仿真实验对改进后的算法与原AOW算法进行了比较,仿真结果表明,在特定场景下,改进后的算法可以进一步提高聚类网络的整体性能。
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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