Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks

Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao
{"title":"Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks","authors":"Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao","doi":"10.1109/ESCI53509.2022.9758199","DOIUrl":null,"url":null,"abstract":"In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"18 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI53509.2022.9758199","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 the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.
C-V2X网络车辆协同缓存的最大响应机制
在现有的城市交通场景中,为了在高度动态的车辆拓扑中实现V2V通信的高请求响应率和低响应延迟,减轻车辆的响应负担,研究了车辆通信中请求响应率的影响因素,总结了车辆文件缓存容量、响应时间和交通密度对请求响应率的影响规律。提出了C-V2X网络中车辆协同缓存的最大响应机制,设计了最大响应算法(MRA)。首先,基站对车辆的请求和响应进行整合和分配,并根据请求数量进行排序,构建请求总数表。车辆根据总请求表作出响应。整个过程由基站节点和车载节点协调完成。与其他响应算法相比,当车辆的文件缓存容量和响应次数较少,交通密度稀疏,车辆的响应负担最小时,MRA可以实现更高的请求响应率。
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