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    Token passing techniques to support real time communications on WTPN used for industrial control applications

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    Authors
    Karimireddy, Thanmayee
    Zhang, Sijing
    Reddy, Manideep
    Affiliation
    University of Bedfordshire
    VIT University
    Issue Date
    2017-10-26
    Subjects
    industrial control networks
    local area networks
    token passing technique
    real-time communications
    simulation
    
    Metadata
    Show full item record
    Abstract
    Wireless Token Passing Networks (WTPN) have gained significant attention in the recent times due to the ability of these networks to overcome the challenge of channel access sharing faced by the wireless networks supporting real-time communications. A WTPN is specified as the network implementing token passing techniques in order to share the wireless channel access medium. In the token passing techniques, only the wireless node holding the token acquires the chance to access the channel, which thereby helps in offering guaranteed channel access time to the nodes connected in the WTPN. The efficiency of token passing techniques in offering guaranteed channel access when compared with master-slave and polling mechanisms resulted in the development of several token passing techniques. This paper intends in surveying and simulating the state-of-art token passing techniques that are applicable for supporting real-time communications over WTPN used for industrial control applications. The theoretical and practical comparison of the token passing techniques presented in this paper can help the practitioners in choosing the suitable token passing technique.
    Citation
    Karimireddy T, Zhang S, Reddy M (2017) 'Token passing techniques to support real time communications on WTPN used for industrial control applications', 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/10547/624367
    DOI
    10.23919/IConAC.2017.8082007
    Additional Links
    https://ieeexplore.ieee.org/document/8082007
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9780701702618
    ae974a485f413a2113503eed53cd6c53
    10.23919/IConAC.2017.8082007
    Scopus Count
    Collections
    Computing

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