Trajectory-based statistical forwarding for multihop infrastructure-to- vehicle data delivery

Jaehoon Jeong, Shuo Guo, Yu Gu, Tian He, David H.C. Du

Research output: Contribution to journalArticlepeer-review

88 Scopus citations


This paper proposes Trajectory-based Statistical Forwarding (TSF) scheme, tailored for the multihop data delivery from infrastructure nodes (e.g., Internet access points) to moving vehicles in vehicular ad hoc networks. To our knowledge, this paper presents the first attempt to investigate how to effectively utilize the packet destination vehicle's trajectory for such an infrastructure-to-vehicle data delivery. This data delivery is performed through the computation of a target point based on the destination vehicle's trajectory that is an optimal rendezvous point of the packet and the destination vehicle. TSF forwards packets over multihop to a selected target point where the vehicle is expected to pass by. Such a target point is selected optimally to minimize the packet delivery delay while satisfying the required packet delivery probability. The optimality is achieved analytically by utilizing the packet's delivery delay distribution and the destination vehicle's travel delay distribution. Through theoretical analysis and extensive simulation, it is shown that our design provides an efficient data forwarding under a variety of vehicular traffic conditions.

Original languageEnglish (US)
Article number5999669
Pages (from-to)1523-1537
Number of pages15
JournalIEEE Transactions on Mobile Computing
Issue number10
StatePublished - 2012

Bibliographical note

Funding Information:
This research was supported in part by US National Science Foundation grants CNS-0917097/0845994/0720465 and 1016350/0960833, by MSI and DTC at the University of Minnesota, and by the grant of Singapore-MIT IDC IDD61000102.


  • I2V
  • Vehicular network
  • data forwarding
  • delivery delay
  • delivery probability
  • infrastructure
  • road network
  • trajectory


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