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Issue No. 10 - Oct. (2012 vol. 11)
ISSN: 1536-1233
pp: 1523-1537
Jaehoon Jeong , University of Minnesota, Minneapolis
Shuo Guo , University of Minnesota, Minneapolis
Yu Gu , University of Minnesota, Minneapolis
Tian He , University of Minnesota, Minneapolis
David H.C. Du , University of Minnesota, Minneapolis
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.
Vehicles, Delay, Roads, Trajectory, Relays, Ad hoc networks, Mobile computing, delivery probability., Vehicular network, road network, infrastructure, I2V, data forwarding, trajectory, delivery delay

T. He, D. H. Du, S. Guo, Y. Gu and J. Jeong, "Trajectory-Based Statistical Forwarding for Multihop Infrastructure-to-Vehicle Data Delivery," in IEEE Transactions on Mobile Computing, vol. 11, no. , pp. 1523-1537, 2012.
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