物联网学报 ›› 2019, Vol. 3 ›› Issue (2): 89-99.doi: 10.11959/j.issn.2096-3750.2019.00104

• 理论与技术 • 上一篇    下一篇

面向车联网的智能数据传输新方法

张德干1,2,赵彭真1,2,高瑾馨1,2,张婷1,2,龚倡乐1,2   

  1. 1 天津理工大学计算机视觉与系统教育部重点实验室,天津 300384
    2 天津理工大学天津市智能计算及软件新技术重点实验室,天津 300384
  • 修回日期:2019-02-14 出版日期:2019-06-30 发布日期:2019-07-17
  • 作者简介:张德干(1970- ),男,湖北黄冈人,博士,天津理工大学教授,主要研究方向为车联网、物联网、移动计算、智能控制等。|赵彭真(1996- ),男,河南郑州人,天津理工大学硕士生,主要研究方向为车联网、物联网、网络通信等。|高瑾馨(1995- ),女,辽宁兴城人,天津理工大学硕士生,主要研究方向为车联网、物联网、网络通信等。|张婷(1973- ),女,河北唐山人,天津理工大学博士生,主要研究方向为车联网、网络通信等。|龚倡乐(1996- ),男,重庆人,天津理工大学硕士生,主要研究方向为车联网、网络通信等。
  • 基金资助:
    国家自然科学基金资助项目(61571328)

New method of intelligent data transmission for IoV

Degan ZHANG1,2,Pengzhen ZHAO1,2,Jinxin GAO1,2,Ting ZHANG1,2,Changle GONG1,2   

  1. 1 Key Laboratory of Computer Vision and System (Ministry of Education),Tianjin University of Technology,Tianjin 300384,China
    2 Tianjin Key Lab of Intelligent Computing &Novel Software Technology,Tianjin University of Technology,Tianjin 300384,China
  • Revised:2019-02-14 Online:2019-06-30 Published:2019-07-17
  • Supported by:
    The National Natural Science Foundation of China(61571328)

摘要:

车联网(IoV,Internet of vehicle)技术是智能交通中的热点研究课题,智能数据传输新方法的研究是IoV的重要技术之一。针对IoV的智能数据传输问题,考虑了车辆密度、车辆速度、数据传输速率和数据传输时延等重要参数,构建了IoV网络模型和时延函数,提出了基于马尔可夫决策理论的数据传输最优路由方法。通过同类方法的对比分析,验证了本路由策略具有数据传输速率更高和数据传输时延更短的性能,对基于IoV的智能交通中的动态远程监控等多种应用具有重要的理论意义和实用价值。

关键词: IoV, 智能交通, 马尔可夫决策理论, 数据传输, 时延

Abstract:

Internet of vehicle (IoV) is a hot research topic of the intelligent transportation,and the research of new method of the intelligent data transmission is one of the key technologies.In order to solve the problem of intelligent data transmission of IoV,a kind of new method which includes the important parameters such as vehicle density,vehicle speed,data transmission rate and data delay was proposed.By setting up network model of IoV and delaying function,the optimal routing method for intelligent data transmission which is based on Markovian decision theory was designed.Through comparison experiments with the relative methods show that the performance on improving the data transmission rate and shortening the delay of data transmission of IoV,it has important value for many applications of intelligent transportation with IoV,such as vehicle dynamic remote monitoring.

Key words: Internet of vehicle, intelligent transportation, Markov decision theory, data transmission, delay

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