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    Timely and efficient multihop broadcast scheme for reliable inter-vehicular communication

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    Authors
    Muhammad, Shehu
    Zhang, Sijing
    Dyo, Vladimir
    Affiliation
    University of Bedfordshire
    Issue Date
    2019-07-04
    Subjects
    Inter-vehicular Communication
    MAC
    Automatic Repeat reQuest (ARQ)
    ARQ
    Forward Error Correction (FEC)
    FEC
    ITS
    
    Metadata
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    Abstract
    Majority of vehicular safety applications such as collision avoidance and blind spot warnings require a limited delay for a message to be transmitted from the abnormal vehicle to the endangered vehicles to avert the occurrence of the accident. This paper proposed a Timely and Efficient Multihop Broadcast (TEMB) Scheme, which combines an adaptive forwarding strategy that depends on the estimated transmission range between moving vehicles on the road. The scheme further combines ARQ with an adaptive Forward Error Correction system to minimise the number of retransmissions while ensuring the reliability of message delivery to the intended recipient. Modifications on the IEEE802.11p data and acknowledgement (feedback) frames are presented. The scheme has been evaluated and compared with the Fast Broadcast scheme, the results have shown that the TEMB scheme has outperformed the Fast Broadcast scheme for reliable and timely message delivery among the moving vehicles on the motorway.
    Citation
    Muhammad SJ, Zhang S, Dyo V (2018) 'Timely and efficient multihop broadcast scheme for reliable inter-vehicular communication', 24th International Conference on Automation and Computing (ICAC) - Newcastle upon Tyne, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624366
    DOI
    10.23919/IConAC.2018.8749056
    Additional Links
    https://ieeexplore.ieee.org/document/8749056/
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781862203426
    ae974a485f413a2113503eed53cd6c53
    10.23919/IConAC.2018.8749056
    Scopus Count
    Collections
    Computing

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