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    Incorporation of timing properties into adaptive error control method for timely and reliable communication in industrial automation networks

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    Authors
    Karimireddy, Thanmayee
    Zhang, Sijing
    Affiliation
    University of Bedfordshire
    Issue Date
    2017-08-23
    Subjects
    networked control systems
    simulation
    communication networks
    reliability
    time-delay systems
    
    Metadata
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    Abstract
    With the evolution of Industry 4.0, factory automation and manufacturing facilities are integrated and interconnected with each other, resulting in the formation of industrial automation networks. In industrial automation networks, transmission of high priority control packets help in monitoring and controlling the industrial machinery automatically. Proper working of these industrial automation networks require timely and reliable communication of control packets dealing with hard real-time traffic due to the presence of highly error prone wireless channels for communication. This study investigates the application of error control approaches to increase the reliability of control packet delivery within the strict deadline of industrial control applications of automation networks. In particular, Adaptive Sub MAC-Hybrid Automatic Repeat reQuest (ASM-HARQ) error control method is proposed in this paper to improve reliability of control packets delivery using both data redundancy and packet retransmission approaches. In order to ensure timely recoverability of any error packets at the receiver, an end-to-end delay packet retransmission metric, Tdelay, is developed in this study that helps in calculating the time required for packet retransmissions. The performance of ASM-HARQ method and its timing properties is shown through detailed analytical model and validated through simulated experiments in this study.
    Citation
    Karimireddy T., Zhang S. (2017) 'Incorporation of timing properties into adaptive error control method for timely and reliable communication in industrial automation networks', Systems Science and Control Engineering, 5 (1), pp.350-360.
    Publisher
    Taylor and Francis Ltd.
    Journal
    Systems Science and Control Engineering
    URI
    http://hdl.handle.net/10547/623876
    DOI
    10.1080/21642583.2017.1367733
    Additional Links
    https://www.tandfonline.com/doi/full/10.1080/21642583.2017.1367733
    Type
    Article
    Language
    en
    EISSN
    2164-2583
    ae974a485f413a2113503eed53cd6c53
    10.1080/21642583.2017.1367733
    Scopus Count
    Collections
    Computing

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