EAI Endorsed Transactions on Wireless Spectrum 17(11): e3

Research Article

Multiple Interface Scheduling System for HeterogeneousWireless Vehicular Networks: Description and Evaluation

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  • @ARTICLE{10.4108/eai.9-1-2017.152097,
        author={Cristian Roman and Peter Ball and Shumao Ou},
        title={Multiple Interface Scheduling System for HeterogeneousWireless Vehicular Networks: Description and Evaluation},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={17},
        number={11},
        publisher={EAI},
        journal_a={WS},
        year={2017},
        month={1},
        keywords={Heterogeneous, Wireless, Radio Access Technology, Vehicular, Shim Layer, Dynamic, QoS, Safety, Video},
        doi={10.4108/eai.9-1-2017.152097}
    }
    
  • Cristian Roman
    Peter Ball
    Shumao Ou
    Year: 2017
    Multiple Interface Scheduling System for HeterogeneousWireless Vehicular Networks: Description and Evaluation
    WS
    EAI
    DOI: 10.4108/eai.9-1-2017.152097
Cristian Roman1,*, Peter Ball1, Shumao Ou1
  • 1: Oxford Brookes University - Department of Computing and Communication Technologies, Oxford, UK
*Contact email: croman.2012@brookes.ac.uk

Abstract

Reliable wireless communications between vehicles (V2V) and between vehicles and infrastructure (V2I) will play a key role in future transport networks. Where there is overlapping coverage of multiple Radio Access Technologies, with no cooperation between them, a vehicle can use the di erent technologies simultaneously. This paper proposes an uplink Multi Interface Scheduling System (MISS) located at an intermediate shim layer on the user side, to achieve eÿcient bandwidth aggregation, or lower end-to-end packet delay. MISS aims to find all the available networks that can meet multiple criteria based on user preference and required performance. Simulation results show that safety critical traÿc can be prioritized where the resources are insuÿcient for all the services. Video delivery quality is also improved by prioritizing the most important frames. This algorithm is ideally suited to vehicular networks, where delivery of safety traÿc and/or video is an essential requirement.