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    Network Optimization for Industrial Internet of Things (IIoT)

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    Final_Manuscript.pdf
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    1.730Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Khalil, Ruhul cc
    Saeed, Nasir cc
    KAUST Department
    Computer, Electrical, and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Makkah, Saudi Arabia
    Date
    2020-06-15
    Online Publication Date
    2020-06-15
    Print Publication Date
    2020-07
    Submitted Date
    2020-05-12
    Permanent link to this record
    http://hdl.handle.net/10754/664172
    
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    Abstract
    Industrial Internet of Things (IIoT) requires reliable, low-latency, and secure wireless links to support rate/delay/security-intensive applications. In this letter, we model the IIoT network as a geometric graph with a virtual coordinate system (VCS). One major problem with VCS is that it is sensitive to the placement of reference nodes. This letter first proposes a general formulation for selecting a specific set of reference nodes that minimizes the network error. Then, we derive the upper bound for the optimization problem and present a novel iterative method that selects additional reference nodes based on the network inference. Simulation results compare the proposed method with the random selection of reference nodes and show that the proposed method performs better regarding packet delivery rate, network connectivity, and total energy consumption.
    Citation
    KHALIL, R. A., & Saeed, N. (2020). Network Optimization for Industrial Internet of Things (IIoT). IEEE Sensors Letters, 1–1. doi:10.1109/lsens.2020.3002232
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Sensors Letters
    DOI
    10.1109/LSENS.2020.3002232
    Additional Links
    https://ieeexplore.ieee.org/document/9117199/
    ae974a485f413a2113503eed53cd6c53
    10.1109/LSENS.2020.3002232
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