Vehicle-to-Vehicle Forwarding in Green Roadside Infrastructure Academic Article uri icon

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abstract

  • Smart scheduling can be used to reduce infrastructure-to-vehicle

    energy costs in delay tolerant vehicular

    networks (Hammad et al., 2010).. In this thesis we show that by combining

    this with vehicle-to-vehicle (V2V) forwarding, energy efficiency can

    be increased beyond that possible in the single hop case. This is

    accomplished by having the roadside infrastructure forward packets

    through vehicles which are in energy favourable locations. We first

    derive offline bounds on the downlink energy usage for a given input

    sample function when V2V forwarding is used. Separate bounds are given

    for the off-channel and in-channel forwarding cases. These bounds are

    used for comparisons with a variety of proposed online scheduling

    algorithms. The paper then introduces online algorithms for both

    fixed bit rate and variable bit rate air interface options. The first

    algorithm is based on a greedy local optimization (GLOA). A version of

    this algorithm which uses a minimum cost flow graph scheduler is also

    introduced. A more sophisticated algorithm is then proposed which is

    based on a finite window group optimization (FWGO). Versions of these

    algorithms are also proposed which use in-channel vehicle-to-vehicle

    scheduling. The proposed algorithms are also adapted to the variable

    bit rate air interface case. Results from a variety of experiments

    show that the proposed scheduling algorithms can significantly improve

    the downlink energy requirements of the roadside unit compared to the

    case where vehicle-to-vehicle packet forwarding is not used. The

    performance improvements are especially strong under heavy loading

    conditions and when the variation in vehicle communication

    requirements or vehicle speed is high.

publication date

  • February 2016