单车道高速公路CR-VANET的最小延迟路由

Chuhao Fu, Xinghua Wu
{"title":"单车道高速公路CR-VANET的最小延迟路由","authors":"Chuhao Fu, Xinghua Wu","doi":"10.1109/ICEEE2.2018.8391361","DOIUrl":null,"url":null,"abstract":"CR-VANET (Cognitive radio-vehicular Ad-Hoc Network) can mitigate channel resource shortage and congestion in VANET. For CR-VANET, with the consideration of fast topology changes and Pus'activities, the existing routing protocols or schemes in VANET or cognitive radio networks (CRAHNs) can not be directly applied into CR-VANET. Therefore, we propose a jointly routing algorithm of CRVANET in urban single-lane expressway for minimizing end-to-end delay (MDCR-VANET). With the consideration of characters of single-lane urban expressway and delay in CRAHNs and VANET, we formulate the objective function as non-linear integer programming, which is NP-hard. Our algorithm uses the geography based greedy forwarding method to ensure the minimum transmission delay and store-forward delay. For the channle selection, we propose a heuristic method to select appropriate channel. Through extensive simulations and comparisons of stateof-the-art protocols, we prove that our algorithm can achieve less end-to-end delay.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"108 1","pages":"355-359"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Minimum-delay routing in single lane express way CR-VANET\",\"authors\":\"Chuhao Fu, Xinghua Wu\",\"doi\":\"10.1109/ICEEE2.2018.8391361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CR-VANET (Cognitive radio-vehicular Ad-Hoc Network) can mitigate channel resource shortage and congestion in VANET. For CR-VANET, with the consideration of fast topology changes and Pus'activities, the existing routing protocols or schemes in VANET or cognitive radio networks (CRAHNs) can not be directly applied into CR-VANET. Therefore, we propose a jointly routing algorithm of CRVANET in urban single-lane expressway for minimizing end-to-end delay (MDCR-VANET). With the consideration of characters of single-lane urban expressway and delay in CRAHNs and VANET, we formulate the objective function as non-linear integer programming, which is NP-hard. Our algorithm uses the geography based greedy forwarding method to ensure the minimum transmission delay and store-forward delay. For the channle selection, we propose a heuristic method to select appropriate channel. Through extensive simulations and comparisons of stateof-the-art protocols, we prove that our algorithm can achieve less end-to-end delay.\",\"PeriodicalId\":6482,\"journal\":{\"name\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"volume\":\"108 1\",\"pages\":\"355-359\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE2.2018.8391361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE2.2018.8391361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

认知无线车载自组织网络(Cognitive radio-vehicular Ad-Hoc Network, CR-VANET)可以缓解VANET中的信道资源短缺和拥塞问题。对于CR-VANET,考虑到拓扑结构的快速变化和Pus的活动,现有的路由协议或方案在VANET或认知无线网络(CRAHNs)中不能直接应用于CR-VANET。为此,我们提出了一种城市单车道高速公路上最小化端到端延迟的联合路由算法(MDCR-VANET)。考虑到单车道城市快速路的特点以及高速公路和高速公路的延迟,将目标函数化为非线性整数规划,具有np困难。该算法采用基于地理的贪婪转发方法,以保证最小的传输延迟和存储转发延迟。对于信道选择,我们提出了一种启发式方法来选择合适的信道。通过大量的模拟和比较最先进的协议,我们证明了我们的算法可以实现更少的端到端延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Minimum-delay routing in single lane express way CR-VANET
CR-VANET (Cognitive radio-vehicular Ad-Hoc Network) can mitigate channel resource shortage and congestion in VANET. For CR-VANET, with the consideration of fast topology changes and Pus'activities, the existing routing protocols or schemes in VANET or cognitive radio networks (CRAHNs) can not be directly applied into CR-VANET. Therefore, we propose a jointly routing algorithm of CRVANET in urban single-lane expressway for minimizing end-to-end delay (MDCR-VANET). With the consideration of characters of single-lane urban expressway and delay in CRAHNs and VANET, we formulate the objective function as non-linear integer programming, which is NP-hard. Our algorithm uses the geography based greedy forwarding method to ensure the minimum transmission delay and store-forward delay. For the channle selection, we propose a heuristic method to select appropriate channel. Through extensive simulations and comparisons of stateof-the-art protocols, we prove that our algorithm can achieve less end-to-end delay.
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
期刊最新文献
Protection coordination assessment and improvement of electrical network of an industrial complex in connection to power grid: An experience report Grasshopper optimization algorithm for automatic voltage regulator system Parameter optimization of power system stabilizer via Salp Swarm algorithm Optimization of out-of-band impedance environment for linearity improvements of microwave power transistors Distribution network fault section identification and fault location using artificial neural network
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1