Multi-agent coverage control based on improved community discovery algorithm

Hongyan Li, Shengjin Li, Zhen Wang, Chong Li, Shan Gao, Dengxiu Yu
{"title":"Multi-agent coverage control based on improved community discovery algorithm","authors":"Hongyan Li, Shengjin Li, Zhen Wang, Chong Li, Shan Gao, Dengxiu Yu","doi":"10.1109/ICCSS53909.2021.9722022","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a coverage control method based on the community discovery algorithm. In the traditional coverage control, the Voronoi partition method is used to divide the target region. However, it cannot be applied in the concave area of the plane or the high-dimensional space. Hence, we propose a coverage control method based on the community discovery algorithm, which can be applied in discrete, concave, and high-dimensional areas. In addition, we introduce the method of Delaunay triangulation to generate the topological relationship between different agents. As a result, the coverage control method of a set of points with internal connections is solved. And the coverage control method is proved to be effective by two examples in simulation.","PeriodicalId":435816,"journal":{"name":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSS53909.2021.9722022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose a coverage control method based on the community discovery algorithm. In the traditional coverage control, the Voronoi partition method is used to divide the target region. However, it cannot be applied in the concave area of the plane or the high-dimensional space. Hence, we propose a coverage control method based on the community discovery algorithm, which can be applied in discrete, concave, and high-dimensional areas. In addition, we introduce the method of Delaunay triangulation to generate the topological relationship between different agents. As a result, the coverage control method of a set of points with internal connections is solved. And the coverage control method is proved to be effective by two examples in simulation.
基于改进社区发现算法的多智能体覆盖控制
本文提出了一种基于社区发现算法的覆盖控制方法。在传统的覆盖控制中,采用Voronoi划分方法对目标区域进行划分。然而,它不能应用于平面的凹区或高维空间。因此,我们提出了一种基于社区发现算法的覆盖控制方法,该方法可以应用于离散、凹和高维区域。此外,我们还引入了Delaunay三角剖分的方法来生成不同agent之间的拓扑关系。从而解决了一组具有内连接点的覆盖控制问题。通过两个算例仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信