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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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/ |
work_keys_str_mv |
AT abdullahalhalafi queuingdelaymodelforvideotransmissionovermultichannelunderwaterwirelessopticalnetworks AT ameralghadhban queuingdelaymodelforvideotransmissionovermultichannelunderwaterwirelessopticalnetworks AT basemshihada queuingdelaymodelforvideotransmissionovermultichannelunderwaterwirelessopticalnetworks |
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