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    Mobile computing and IoT: radio spectrum requirement for timely and reliable message delivery over Internet of Vehicles (IoVs)

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    Authors
    Eze, Elias Chinedum
    Sant, Paul
    Zhang, Sijing
    Feng, Xiaohua
    Shukla, Mitul
    Eze, Joy Chinedu
    Liu, Enjie
    Affiliation
    University of Bedfordshire
    Issue Date
    2020-05-01
    Subjects
    Internet of Vehicles (IoVs)
    Internet of Things (IoT)
    radio spectrum requirement
    
    Metadata
    Show full item record
    Other Titles
    Internet of Things
    Abstract
    This paper studied the required amount of radio spectral resource enough to support timely and reliable vehicular communication via vehicular ad-hoc networks (VANETs). The study focussed on both DSRC/WAVE and the European standard ITS-G5 that are based on recently approved IEEE 802.11p specification, which uses a simplified version of CSMA/CA as MAC protocol, and an STDMA MAC recently proposed by European Telecommunications Standards Institute (ETSI). The paper further carried out a feasibility analysis of radio spectrum requirement for timely and reliable vehicle-to-vehicle (V2V) communication. In the feasibility analysis, synchronized STDMA MAC is compared with the CSMA/CA MAC protocol, which 802.11p is based on. Message Reception Failure (MRF) probability is used as a performance metric to investigate and ascertain the minimum spectrum requirement for efficient, timely, and reliable V2V communication. Simulation results show that even at the same allocation of 10MHz channel bandwidth, STDMA MAC outperforms
    Citation
    Eze E, Sant P, Zhang S, Feng X, Shukla M, Eze J, Liu E (2020) 'Mobile computing and IoT: radio spectrum requirement for timely and reliable message delivery over Internet of Vehicles (IoVs)', in Alam M, Shakil K, Khan S (ed(s).). Internet of Things , Springer pp.235-256.
    Publisher
    Springer
    URI
    http://hdl.handle.net/10547/626427
    DOI
    10.1007/978-3-030-37468-6_12
    Additional Links
    https://link.springer.com/chapter/10.1007/978-3-030-37468-6_12
    Type
    Book chapter
    Language
    en
    ISBN
    9783030374679
    9783030374686
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-030-37468-6_12
    Scopus Count
    Collections
    Computing

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