An improved AODV routing protocol based on social relationship mining for VANET

Wanbin Zhang, Xiaoqiang Xiao, Jijin Wang, Peng Lu
{"title":"An improved AODV routing protocol based on social relationship mining for VANET","authors":"Wanbin Zhang, Xiaoqiang Xiao, Jijin Wang, Peng Lu","doi":"10.1145/3290420.3290429","DOIUrl":null,"url":null,"abstract":"The growing development of VANET (Vehicular Ad-hoc Network) brings possibility to exploit various mobile applications which makes people's trips comfortable, safe and full of interests. Besides, the trajectory mining of vehicles can discover the implied social relationships among vehicles which can conduct the optimizing of VANET routing protocols. In this paper, we have analyzed the cons of typical AODV (Ad-hoc On Demand Vector) protocols and proposed a social AODV protocol (SAODV) in which social relationships among vehicles based on historical trajectories are investigated and the criterion of choosing routing paths is optimized. After constructing the simulator based on \"NS-3\", the simulation results show that the SAODV protocol has better performance in average transmission delay and packet delivery ratio.","PeriodicalId":259201,"journal":{"name":"International Conference on Critical Infrastructure Protection","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Critical Infrastructure Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3290420.3290429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The growing development of VANET (Vehicular Ad-hoc Network) brings possibility to exploit various mobile applications which makes people's trips comfortable, safe and full of interests. Besides, the trajectory mining of vehicles can discover the implied social relationships among vehicles which can conduct the optimizing of VANET routing protocols. In this paper, we have analyzed the cons of typical AODV (Ad-hoc On Demand Vector) protocols and proposed a social AODV protocol (SAODV) in which social relationships among vehicles based on historical trajectories are investigated and the criterion of choosing routing paths is optimized. After constructing the simulator based on "NS-3", the simulation results show that the SAODV protocol has better performance in average transmission delay and packet delivery ratio.
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
一种基于VANET社会关系挖掘的改进AODV路由协议
随着VANET (Vehicular Ad-hoc Network)技术的不断发展,各种移动应用的开发成为可能,使人们的出行更加舒适、安全、有趣。此外,对车辆的轨迹挖掘可以发现车辆之间隐含的社会关系,从而对VANET路由协议进行优化。本文分析了典型的AODV (Ad-hoc On Demand Vector)协议的缺点,提出了一种基于历史轨迹研究车辆间社会关系并优化路径选择准则的社会化AODV协议(SAODV)。基于“NS-3”构建了仿真器,仿真结果表明,SAODV协议在平均传输时延和包投递率方面具有更好的性能。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep learning chips: challenges and opportunities for ubiquitous power internet of things Secrecy relaying strategy over correlated fading channels using CSI estimation 3D anisotropie convolutional neural network with step transfer learning for liver segmentation Image feature fusion and its application based on trace transform and improved GLBP An improved AOR-based precoding for massive MIMO systems
×
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