Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers

Research Article

Vehicular Inter-Networking via Named Data - An OPNET Simulation Study

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  • @INPROCEEDINGS{10.1007/978-3-319-13326-3_12,
        author={Dung Mau and Yin Zhang and Tarik Taleb and Min Chen},
        title={Vehicular Inter-Networking via Named Data - An OPNET Simulation Study},
        proceedings={Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2014},
        month={11},
        keywords={VANET LTE NDN QoS},
        doi={10.1007/978-3-319-13326-3_12}
    }
    
  • Dung Mau
    Yin Zhang
    Tarik Taleb
    Min Chen
    Year: 2014
    Vehicular Inter-Networking via Named Data - An OPNET Simulation Study
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-319-13326-3_12
Dung Mau1,*, Yin Zhang1,*, Tarik Taleb2,*, Min Chen1,*
  • 1: Huazhong University of Science and Technology
  • 2: NEC Europe Ltd.
*Contact email: omdung@gmail.com, yin.zhang.cn@ieee.org, talebtarik@ieee.org, minchen@ieee.org

Abstract

Named Data Networking (NDN) is proposed for effective content distribution when a large number of end-users demand for popular content at the same time. In this paper, NDN is implemented in Vehicular Ad-hoc NETwork (VANET) to meet its particular requirements, such that all of vehicles refer to the real time traffic status for safe driving. We propose Vehicular Named Data Networking according to three different vehicle communication mechanisms, which are vehicle-to-infrastructure (V2I), a hybrid of vehicle to road side unit (V2R) and vehicle to vehicle (V2V). Furthermore, this paper illustrates the experimental results conducted by OPNET Modeler, and proves that the solution with NDN enhances the Quality of Service (QoS) of VANET significantly.