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车联网建模和统计性质分析及其路由策略综述
引用本文:陈宇峰,向郑涛,董亚波,夏明.车联网建模和统计性质分析及其路由策略综述[J].计算机应用,2015,35(12):3321-3324.
作者姓名:陈宇峰  向郑涛  董亚波  夏明
作者单位:1. 湖北汽车工业学院电气与信息工程学院, 湖北十堰 442002;2. 浙江大学计算机科学与技术学院, 杭州 310027;3. 浙江工业大学计算机科学与技术学院, 杭州 310023
基金项目:国家科技支撑计划项目(2014BAG01B02,2014BAG01B03);湖北省自然科学基金重点项目(2013CFA054);湖北省自然科学基金资助项目(2014CFB287);汽车动力传动与电子控制湖北省重点实验室(湖北汽车工业学院)开放基金资助项目(ZDK1201406);湖北汽车工业学院重大科研项目预研基金资助项目(2014XY02)。
摘    要:利用复杂网络理论和方法对通信网络进行建模、分析网络演化过程中的统计性质,进而指导路由策略优化,已经成为热点领域。分析了车联网建模、车联网统计性质分析、车联网路由策略优化,以及车联网路由协议设计等方面的研究现状,并提出从三个方面进行改进,分别是:采用有向加权图来描述车联网的拓扑结构;从车联网与移动自组织网络的统计性质差异入手,寻找影响车联网传输能力的关键统计性质;利用复杂网络,研究基于多输入多输出技术的多径路由(即同时利用多个信道、多条路径传输)优化策略。

关 键 词:车联网  路由策略优化  复杂网络  车联网建模  统计性质  
收稿时间:2015-05-05
修稿时间:2015-07-23

Review of modeling,statistical properties analysis and routing strategies optimization in Internet of vehicles
CHEN Yufeng,XIANG Zhengtao,DONG Yabo,XIA Ming.Review of modeling,statistical properties analysis and routing strategies optimization in Internet of vehicles[J].journal of Computer Applications,2015,35(12):3321-3324.
Authors:CHEN Yufeng  XIANG Zhengtao  DONG Yabo  XIA Ming
Affiliation:1. School of Electrical and Information Engineering, Hubei University of Automotive Technology, Shiyan Hubei 442002, China;2. College of Computer Science and Technology, Zhejiang University, Hangzhou Zhejiang 310027, China;3. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China
Abstract:It has been a hot research area using the complex network theory and method to model the communication network, analyzing the statistical properties in evolving process and guiding the optimization of routing strategies. The research status of the modeling, the analysis of the statistical properties, the optimization of routing strategies and the design of routing protocols in the Internet of Vehicles (IoV) were analyzed. In addition, three improvements were proposed. The first is using the directed weighted graph to describe the topology of IoV. The second is analyzing the key statistical properties influencing the transmission capacity of IoV based on the differences of statistical properties between the IoV and the mobile Ad Hoc network. The third is optimizing the multi-path routing strategies based on Multiple-Input Multiple-Output (MIMO) technologies by the complex network, which means utilizing multiple channels and multiple paths to transmit.
Keywords:Internet of Vehicles (IoV)  routing strategies optimization  complex network  Internet of Vehicles (IoV) modeling  statistical property  
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