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    Cognitive radio technology assisted vehicular ad-hoc networks (VANETs): current status, challenges, and research trends

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    Authors
    Eze, Joy C.
    Zhang, Sijing
    Liu, Enjie
    Eze, Elias Chinedum
    Affiliation
    University of Bedfordshire
    Issue Date
    2017-10-26
    Subjects
    V2V
    service channel
    CR-VANETs
    WAVE
    control channel
    spectrum sensing
    cognitive radio
    V2I
    
    Metadata
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    Abstract
    VANET and cognitive radio network (CRN) are both new emerging technologies in wireless networking. The application of CR concept in wireless communication systems for intelligent vehicles has been envisioned as a promising idea towards solving the problem of scarce spectrum. This paper discusses CR technologies for VANETs aimed at opportunistic spectrum access (OSA) for improved vehicular communication efficiency. This survey explored novel approaches and current research challenges associated with the use of CR technologies in VANETs. Our study is different from previous works in that it presents recent advances, open issues, and future research directions on how to effectively design and deploy CR enabled vehicular networks emphasizing on architecture, CR-VANETs and WAVE Standards, MAC schemes for CR-VANETs, spectrum sensing, minimized interference impact through coordination between PUs and SUs, spectrum management, efficient message routing, security and privacy, as well as CR enabled vehicular networks test-beds and simulation platforms. Furthermore, the paper also identified several challenges facing the design and development of CR-VANTs and the required approaches to tackle them.
    Citation
    Eze J, Zhang S, Liu E, Eze E (2017) 'Cognitive radio technology assisted vehicular ad-hoc networks (VANETs): Current status, challenges, and research trends', 23rd International Conference on Automation and Computing (ICAC) - Huddersfield, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624334
    DOI
    10.23919/IConAC.2017.8082035
    Additional Links
    https://ieeexplore.ieee.org/document/8082035
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9780701702618
    ae974a485f413a2113503eed53cd6c53
    10.23919/IConAC.2017.8082035
    Scopus Count
    Collections
    Computing

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