{"title":"一种基于VANET社会关系挖掘的改进AODV路由协议","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":"{\"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}","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
摘要
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。
An improved AODV routing protocol based on social relationship mining for VANET
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.
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