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    Queuing Delay Model for Video Transmission over Multi-Channel Underwater Wireless Optical Networks

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    Type
    Article
    Authors
    Al-Halafi, Abdullah cc
    AlGhadhban, Amer M. cc
    Shihada, Basem cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Networks Laboratory (NetLab)
    Date
    2019-01-09
    Online Publication Date
    2019-01-09
    Print Publication Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/631535
    
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    Abstract
    In this paper, we analyze a delay-sensitive underwater wireless optical network used for live-video applications. The video streams are generated at the sender and are transmitted through underwater multi-channel paths that span over several meters of length, where the receiver is subject to a maximum end-To-end delay constraint. We model this network with M/G/1 Markovian models to quantify the system's performance. Also, we obtain an approximate expression for the probability of blocking at the receiver considering an acceptable QoS. We provide an approximate expression for the minimum number of channels required to satisfy the preset QoS metric. Our model is validated using actual parameters from an existing setup and by comparing the analytical expressions for the end-To-end delay and probability of blocking for different scenarios with the simulation results.
    Citation
    Al-Halafi A, Alghadhban A, Shihada B (2019) Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks. IEEE Access 7: 10515–10522. Available: http://dx.doi.org/10.1109/ACCESS.2019.2891753.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/ACCESS.2019.2891753
    Additional Links
    https://ieeexplore.ieee.org/document/8606048
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACCESS.2019.2891753
    Scopus Count
    Collections
    Articles; Computer Science Program; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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