中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (4): 32-39.doi: 10.1016/S1005-8885(14)60313-7

• Networks • 上一篇    下一篇

Road traffic and geography topology based opportunistic routing for VANETs

丁郁1,刘亚志2,王文东1,龚向阳3   

  1. 1. State Key Laboratory of Networking and Switching technology, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. College of Information, Hebei United University, Tangshan 063000, China
  • 收稿日期:2014-04-01 修回日期:2014-05-10 出版日期:2014-08-31 发布日期:2014-08-30
  • 通讯作者: 王文东 E-mail:wdwang@bupt.edu.cn
  • 基金资助:

    群车智能协作感知理论与算法研究;参与式协作感知关键技术研究

Road traffic and geography topology based opportunistic routing for VANETs

  1. 1. State Key Laboratory of Networking and Switching technology, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. College of Information, Hebei United University, Tangshan 063000, China
  • Received:2014-04-01 Revised:2014-05-10 Online:2014-08-31 Published:2014-08-30
  • Contact: Wen Dong Wang E-mail:wdwang@bupt.edu.cn

摘要:

The message delivery ratio and transmission delay is affected deeply by road traffic flow in vehicular ad hoc networks (VANETs). An opportunistic routing based on geography and road traffic flow for VANETs (ORRIS) was proposed. ORRIS leverages the knowledge of geography positions, motion vectors and road traffic flows. In order to estimate the traffic flow density, the history of encounter number of the vehicles in the opposite direction is considered in ORRIS. The forwarding decisions are made by distributed vehicles based on the geography topology and the road traffic flow. The real map based simulation results show that ORRIS has a better performance than other algorithms, especially when the road traffic is busy or the traffic flow rates have great differences between roads.

关键词: VANETs, traffic flow, opportunistic routing, geography topology

Abstract: The message delivery ratio and transmission delay is affected deeply by road traffic flow in vehicular ad hoc networks (VANETs). An opportunistic routing based on geography and road traffic flow for VANETs (ORRIS) was proposed. ORRIS leverages the knowledge of geography positions, motion vectors and road traffic flows. In order to estimate the traffic flow density, the history of encounter number of the vehicles in the opposite direction is considered in ORRIS. The forwarding decisions are made by distributed vehicles based on the geography topology and the road traffic flow. The real map based simulation results show that ORRIS has a better performance than other algorithms, especially when the road traffic is busy or the traffic flow rates have great differences between roads.

Key words: VANETs, traffic flow, opportunistic routing, geography topology

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