A k-hop Clustering Protocol for Dense Mobile Ad-Hoc Networks

G. Angione, P. Bellavista, Antonio Corradi, Eugenio Magistretti
{"title":"A k-hop Clustering Protocol for Dense Mobile Ad-Hoc Networks","authors":"G. Angione, P. Bellavista, Antonio Corradi, Eugenio Magistretti","doi":"10.1109/ICDCSW.2006.7","DOIUrl":null,"url":null,"abstract":"Dense Mobile Ad-hoc NETworks (MANET), i.e., geographical areas with relatively high and almost constant density of mobile terminals communicating in ad-hoc mode (such as in airport terminals, shopping malls, and university campuses) are becoming deployment scenarios of growing and growing commercial interest. The effective determination of k-hop clusters in MANET is crucial to efficiently support many relevant tasks, e.g., packet routing, and has recently started to be investigated. The paper claims that the assumption of dense MANET permits to propose novel k-hop clustering solutions that outperform existing ones in terms of both effectiveness and limited overhead. In particular, the paper presents an innovative k-clustering protocol, based on circle covering, and quantitatively evaluates its performance when adopting different decentralized heuristics. The proposed protocol, coupled with original heuristics considering the positions of neighbor cluster-heads, has demonstrated to achieve better performance than other solutions in the literature with a significantly lower message overhead.","PeriodicalId":333505,"journal":{"name":"26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSW.2006.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

Abstract

Dense Mobile Ad-hoc NETworks (MANET), i.e., geographical areas with relatively high and almost constant density of mobile terminals communicating in ad-hoc mode (such as in airport terminals, shopping malls, and university campuses) are becoming deployment scenarios of growing and growing commercial interest. The effective determination of k-hop clusters in MANET is crucial to efficiently support many relevant tasks, e.g., packet routing, and has recently started to be investigated. The paper claims that the assumption of dense MANET permits to propose novel k-hop clustering solutions that outperform existing ones in terms of both effectiveness and limited overhead. In particular, the paper presents an innovative k-clustering protocol, based on circle covering, and quantitatively evaluates its performance when adopting different decentralized heuristics. The proposed protocol, coupled with original heuristics considering the positions of neighbor cluster-heads, has demonstrated to achieve better performance than other solutions in the literature with a significantly lower message overhead.
密集移动Ad-Hoc网络的k-hop聚类协议
密集移动自组网(MANET),即以自组网方式通信的移动终端密度相对较高且几乎恒定的地理区域(如机场航站楼、商场和大学校园),正成为日益增长的商业兴趣的部署场景。MANET中k-hop集群的有效确定对于有效支持许多相关任务(例如数据包路由)至关重要,并且最近开始进行研究。本文声称,密集MANET的假设允许提出新的k-hop聚类解决方案,在有效性和有限开销方面优于现有的解决方案。特别地,本文提出了一种创新的基于圆覆盖的k-聚类协议,并在采用不同的分散启发式时定量评估其性能。所提出的协议,加上考虑邻居簇头位置的原始启发式方法,已被证明比文献中的其他解决方案具有更好的性能,并且消息开销显着降低。
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