改进的VANETs DMAC聚类算法

G. Wolny
{"title":"改进的VANETs DMAC聚类算法","authors":"G. Wolny","doi":"10.1109/ICSNC.2008.28","DOIUrl":null,"url":null,"abstract":"In this paper a new clustering algorithm for vehicular ad-hoc networks (VANET) is presented. The proposed solution is a modification of the Basagnipsilas distributed and mobility-adaptive clustering (DMAC) algorithm. Some additional conditions that have to be fulfilled before the cluster head change, are introduced to better suit the road traffic. Tests performed in the simulation environment consisting of VanetMobiSim and JiST/SWANS++ show that algorithm performs better than the original solution - the clusters stability is significantly increased.","PeriodicalId":105399,"journal":{"name":"2008 Third International Conference on Systems and Networks Communications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"117","resultStr":"{\"title\":\"Modified DMAC Clustering Algorithm for VANETs\",\"authors\":\"G. Wolny\",\"doi\":\"10.1109/ICSNC.2008.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new clustering algorithm for vehicular ad-hoc networks (VANET) is presented. The proposed solution is a modification of the Basagnipsilas distributed and mobility-adaptive clustering (DMAC) algorithm. Some additional conditions that have to be fulfilled before the cluster head change, are introduced to better suit the road traffic. Tests performed in the simulation environment consisting of VanetMobiSim and JiST/SWANS++ show that algorithm performs better than the original solution - the clusters stability is significantly increased.\",\"PeriodicalId\":105399,\"journal\":{\"name\":\"2008 Third International Conference on Systems and Networks Communications\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"117\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Systems and Networks Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSNC.2008.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Systems and Networks Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSNC.2008.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 117

摘要

提出了一种新的车载自组织网络聚类算法。提出的解决方案是对Basagnipsilas分布式和移动自适应聚类(DMAC)算法的改进。为了更好地适应道路交通,引入了在簇头改变之前必须满足的一些附加条件。在VanetMobiSim和JiST/SWANS++仿真环境中进行的测试表明,该算法的性能优于原方案,簇的稳定性显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified DMAC Clustering Algorithm for VANETs
In this paper a new clustering algorithm for vehicular ad-hoc networks (VANET) is presented. The proposed solution is a modification of the Basagnipsilas distributed and mobility-adaptive clustering (DMAC) algorithm. Some additional conditions that have to be fulfilled before the cluster head change, are introduced to better suit the road traffic. Tests performed in the simulation environment consisting of VanetMobiSim and JiST/SWANS++ show that algorithm performs better than the original solution - the clusters stability is significantly increased.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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