ACLSGO: Ant Colony Link State aware Geographic Opportunistic routing protocol for VANET

F. Belamri, Samra Boulfekhar, Pr Djamil Aissani
{"title":"ACLSGO: Ant Colony Link State aware Geographic Opportunistic routing protocol for VANET","authors":"F. Belamri, Samra Boulfekhar, Pr Djamil Aissani","doi":"10.1109/CSCI54926.2021.00272","DOIUrl":null,"url":null,"abstract":"The unique characteristics of the Ad Hoc Vehicle Network (VANET), such as high mobility and dynamic network topology, greatly affect data transmission. Indeed, selecting a promising route that forward data is subject to multiple Quality of Service (QoS) constraint such as link failure. In this paper, we propose the Ant Colony Link state aware geographic Opportunistic routing protocol ACLSGO. Based on path robustness and Ant Colony Optimization (ACO), the proposed ACLSGO selects the best candidate node set and determines the optimal priority node to transmit the data. Simulation results show that ACLSGO protocol outperforms LSGO in terms of packet delivery ratio, throughput and also the average end-to-end delay is considerably reduced.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI54926.2021.00272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The unique characteristics of the Ad Hoc Vehicle Network (VANET), such as high mobility and dynamic network topology, greatly affect data transmission. Indeed, selecting a promising route that forward data is subject to multiple Quality of Service (QoS) constraint such as link failure. In this paper, we propose the Ant Colony Link state aware geographic Opportunistic routing protocol ACLSGO. Based on path robustness and Ant Colony Optimization (ACO), the proposed ACLSGO selects the best candidate node set and determines the optimal priority node to transmit the data. Simulation results show that ACLSGO protocol outperforms LSGO in terms of packet delivery ratio, throughput and also the average end-to-end delay is considerably reduced.
蚁群链路状态感知VANET地理机会路由协议
自组织车辆网络(VANET)的高移动性和动态网络拓扑等独特特性极大地影响了数据传输。实际上,选择一条有前途的路由来转发数据会受到多个服务质量(QoS)的约束,比如链路故障。本文提出了蚁群链路状态感知地理机会路由协议ACLSGO。该算法基于路径鲁棒性和蚁群算法,选择最优候选节点集,确定传输数据的最优优先节点。仿真结果表明,ACLSGO协议在数据包传输率、吞吐量和平均端到端延迟方面都优于LSGO协议。
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