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

In this paper, we analyze a delay-sensitive underwater wireless optical network used for livevideo 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 maximu...

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Main Authors: Abdullah Al-Halafi, Amer Alghadhban, Basem Shihada
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8606048/
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spelling doaj-94901d93fb7c48258058536ee38c559e2021-03-29T22:47:47ZengIEEEIEEE Access2169-35362019-01-017105151052210.1109/ACCESS.2019.28917538606048Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical NetworksAbdullah Al-Halafi0Amer Alghadhban1Basem Shihada2https://orcid.org/0000-0003-4434-4334Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaIn this paper, we analyze a delay-sensitive underwater wireless optical network used for livevideo 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.https://ieeexplore.ieee.org/document/8606048/Underwater wireless optical networksvideo streamingmulti-channel systemsqueueing theoryend-to-end delayloss probability
collection DOAJ
language English
format Article
sources DOAJ
author Abdullah Al-Halafi
Amer Alghadhban
Basem Shihada
spellingShingle Abdullah Al-Halafi
Amer Alghadhban
Basem Shihada
Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
IEEE Access
Underwater wireless optical networks
video streaming
multi-channel systems
queueing theory
end-to-end delay
loss probability
author_facet Abdullah Al-Halafi
Amer Alghadhban
Basem Shihada
author_sort Abdullah Al-Halafi
title Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
title_short Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
title_full Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
title_fullStr Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
title_full_unstemmed Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks
title_sort queuing delay model for video transmission over multi-channel underwater wireless optical networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, we analyze a delay-sensitive underwater wireless optical network used for livevideo 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.
topic Underwater wireless optical networks
video streaming
multi-channel systems
queueing theory
end-to-end delay
loss probability
url https://ieeexplore.ieee.org/document/8606048/
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AT ameralghadhban queuingdelaymodelforvideotransmissionovermultichannelunderwaterwirelessopticalnetworks
AT basemshihada queuingdelaymodelforvideotransmissionovermultichannelunderwaterwirelessopticalnetworks
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