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

نویسندگان

  • Ong Mau Dung
  • Yin Zhang
  • Tarik Taleb
  • Min Chen
چکیده

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-toinfrastructure (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.

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تاریخ انتشار 2014