• DocumentCode
    938123
  • Title

    Performance Evaluation of SUVnet With Real-Time Traffic Data

  • Author

    Huang, Hong-Yu ; Luo, Pei-En ; Li, Minglu ; Da Li ; Li, Xu ; Shu, Wei ; Wu, Min-You

  • Author_Institution
    Shanghai Jiao Tong Univ., Shanghai
  • Volume
    56
  • Issue
    6
  • fYear
    2007
  • Firstpage
    3381
  • Lastpage
    3396
  • Abstract
    In this paper, we present the characteristics of a vehicular ad hoc network (VANET), which is the Shanghai urban vehicular network (SUVnet). We construct a mobility model using the GPS data collected from more than 4000 taxis in Shanghai. The model is both realistic and large scale. Based on this model, network topology and connectivity of SUVnet are studied. Because of the sparse distribution and dynamic topology of SUVnet, simply utilizing the conventional mobile ad hoc network routing protocols in SUVnet may not achieve a satisfactory performance. Therefore, we apply the delay-tolerant network model to SUVnet and evaluate the epidemic routing protocols. We propose a new protocol, which is the distance aware epidemic routing (DAER), to improve the bundle delivery ratio. Results show that DAER performs well for a VANET. This paper provides a basis in studying a realistic urban VANET.
  • Keywords
    Global Positioning System; ad hoc networks; mobile communication; performance evaluation; road traffic; routing protocols; GPS data; SUVnet; Shanghai urban vehicular network; delay-tolerant network model; distance aware epidemic routing; dynamic topology; mobile ad hoc network routing protocols; network topology; performance evaluation; real-time traffic data; sparse distribution; vehicular ad hoc network; Delay-tolerant network (DTN); Vehicular ad hoc network; delay tolerant network; epidemic routing; mobility model; performance; vehicular ad hoc network (VANET);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2007.907273
  • Filename
    4357430