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  • 标题:Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation
  • 本地全文:下载
  • 作者:Lucas Rivoirard ; Martine Wahl ; Patrick Sondi
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:12
  • DOI:10.14569/IJACSA.2016.071251
  • 出版社:Science and Information Society (SAI)
  • 摘要:Vehicular ad hoc networking is an emerging paradigm which is gaining much interest with the development of new topics such as the connected vehicle, the autonomous vehicle, and also new high-speed mobile communication technologies such as 802.11p and LTE-D. This paper presents a brief review of different mobility models used for evaluating performance of routing protocols and applications designed for vehicular ad hoc networks. Particularly, it describes how accurate mobility traces can be built from a real-world car traffic dataset that embeds the main characteristics affecting vehicle-to-vehicle communications. An effective use of the proposed mobility models is illustrated in various road traffic conditions involving communicating vehicles equipped with 802.11p. This study shows that such dataset actually contains additional information that cannot completely be obtained with other analytical or simulated mobility models, while impacting the results of performance evaluation in vehicular ad hoc networks.
  • 关键词:thesai; IJACSA Volume 7 Issue 12; MOCoPo dataset; mobility models; vehicular ad hoc networks; simulation; performance evaluation
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