不同车辆密度下的车联网最大路由跳数仿真研究  

A Simulation of the Maximum Routing Hop Count of IoV Under Different Vehicle Densities

作　　者：裴忠惠 杜路遥 纪军 陈伟[1,2] 郑洪江 PEI Zhonghui;DU Luyao;JI Jun;CHEN Wei;HENG Hongjiang(School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China;School of Automation,Wuhan University of Technology,Wuhan 430070,China;Shanghai Engineering Technology Research Center for Intelligent and Connected Vehicle Terminals,Shanghai 200030,China;Shanghai PATEO Electronic Equipment Manufacturing Company Limited,Shanghai 200030,China)

机构地区：[1]武汉理工大学信息工程学院,武汉430070 [2]武汉理工大学自动化学院,武汉430070 [3]上海智能网联车载终端工程技术研究中心,上海200030 [4]上海博泰悦臻电子设备制造有限公司,上海200030

出　　处：《交通信息与安全》2020年第1期92-99,共8页Journal of Transport Information and Safety

基　　金：国家重点研发计划项目(2018YFB0105205);湖北省技术创新重大项目(2018AAA059)资助。

摘　　要：为提高车联网通信在智能交通系统及无人驾驶应用中的通信质量和可靠性,通过将网络最大路由跳数参数选择与车辆密度相关联,研究在不同的车辆密度情况下,选择不同的最大路由跳数参数对网络各项性能指标的影响。利用泊松分布模型,建立了最大路由跳数和车辆密度的节点连接性概率及数据包投递率的数学模型,在理论上分析了最大路由跳数参数和车辆密度对通信质量的影响。基于Veins仿真平台,分别对不同车辆密度下的直道场景和城市道路场景做仿真实验,并对数据包投递率、平均路由跳数和平均端到端延时做统计分析。结果表明,最大路由跳数参数地选择对网络的性能有着重要影响,越小的车辆密度通常对应于越大的最大路由跳数最佳数值,在车辆密度一定时,实验中选择的最佳最大路由跳数可以将直道场景下的平均包投递最大提升约20%,城市场景下的实时包投递率最大提升约6%。In order to improve communication quality and reliability of IoV(Internet of vehicles) in intelligent transportation systems and unmanned driving applications,the effects of different maximum routing hop count parameters on various network performance indicators under different vehicle densities are studied. The Poisson distribution model is used to develop mathematical models of node connectivity and packet delivery ratio for different maximum routing hop count and vehicle densities. The effects of maximum routing hop count parameters and vehicle density on communication quality is theoretically analyzed. Based on the Veins(Vehicle in Network Simulation) platform,simulations are conducted for straight road scenarios and urban road scenarios under different vehicle densities. A statistical analysis is performed on packet delivery ratio,average routing hop count,and average end-to-end delay time. The results show that the different values of the maximum routing hop count parameters have important impacts on the performance of the network. The smaller the vehicle density usually corresponds to the larger the optimal value of the maximum routing hop count. When the vehicle density is constant,the selected optimal maximum routing hop count can improve the average packet delivery by about 20% in the straight road scenario,also improve the real-time packet delivery ratio by about 6% in the urban scenario.

关 键 词：智能交通 车联网路由 连接性概率 包投递率 最大路由跳数 车辆密度 

分 类 号：U49[交通运输工程—交通运输规划与管理] TP39[交通运输工程—道路与铁道工程]