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  • 标题:A Probabilistic-Based Reputation Computation Model for VANET
  • 本地全文:下载
  • 作者:Kapil Sharma ; Aditya shrivastava ; Ranjeet Singh Tomar
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2016
  • 卷号:10
  • 期号:12
  • 页码:461-472
  • DOI:10.14257/ijseia.2016.10.12.38
  • 出版社:SERSC
  • 摘要:Reputation computation model facilitates vehicles to broadcast traffic information in a vehicular ad hoc network (VANET) in order to improve road safety and efficiency. In this paper, a probabilistic - based reputation computation model for VANETs has been evaluated. The uncertainty of reputation is transformed into a probability distribution over possible reputed states that are hidden from observation but determined by a vehicle's expected experience in VANET are addressed in this work. HMM is utilized to evaluate the level of reputation in VANET exhibiting dynamic behaviour. The proposed mechanism is probability distribution centric, though the later mechanism is docile to predict accurate trust value of messages. The time taken by the proposed scheme is significantly less and transmission over the shared wireless channel is in t he order of milliseconds. Extensive results and simulation show that efficacy of the proposed model.
  • 关键词:VANET; Hidden Markov Model; States; Observation; Reputation
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