Interference-Aware Multipath Video Streaming in Vehicular Environments
The multipath transmission is one of the suitable transmission methods for high data rate oriented communication such as video streaming. Each video packets are split into smaller frames for parallel transmission via different paths. One path may interfere with another path due to these parallel tra...
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doaj-8fc75159bb444b9eb1409bc10caf8cf12021-03-29T21:12:16ZengIEEEIEEE Access2169-35362018-01-016476104762610.1109/ACCESS.2018.28547848424025Interference-Aware Multipath Video Streaming in Vehicular EnvironmentsAhmed Aliyu0Abdul Hanan Abdullah1https://orcid.org/0000-0002-4948-9607Nauman Aslam2https://orcid.org/0000-0002-9500-3970Ayman Altameem3Raja Zahilah Radzi4Rupak Kharel5Mufti Mahmud6https://orcid.org/0000-0002-2037-8348Shiv Prakash7Usman Mohammed Joda8https://orcid.org/0000-0002-7238-3579Universiti Teknologi Malaysia, Johor Bahru, MalaysiaUniversiti Teknologi Malaysia, Johor Bahru, MalaysiaBauchi State University, Gadau, NigeriaNorthumbria University, Newcastle upon Tyne, U.K.Universiti Teknologi Malaysia, Johor Bahru, MalaysiaKing Saud University, Riyadh, Saudi ArabiaSchool of Engineering, Manchester Metropolitan University, Manchester, U.K.Department of Computing and Technology, School of Science and Technology, Nottingham Trent University, Nottingham, U.K.Universiti Teknologi Malaysia, Johor Bahru, MalaysiaThe multipath transmission is one of the suitable transmission methods for high data rate oriented communication such as video streaming. Each video packets are split into smaller frames for parallel transmission via different paths. One path may interfere with another path due to these parallel transmissions. The multipath oriented interference is due to the route coupling which is one of the major challenges in vehicular traffic environments. The route coupling increases channel contention resulting in video packet collision. In this context, this paper proposes an Interference-aware Multipath Video Streaming (I-MVS) framework focusing on link and node disjoint optimal paths. Specifically, a multipath vehicular network model is derived. The model is utilized to develop interference-aware video streaming method considering angular driving statistics of vehicles. The quality of video streaming links is measured based on packet error rate considering non-circular transmission range oriented shadowing effects. Algorithms are developed as a complete operational I-MVS framework. The comparative performance evaluation attests the benefit of the proposed framework considering various video streaming related metrics.https://ieeexplore.ieee.org/document/8424025/Video streamingmultipathvehicular networkinterferencemultimediaRoute coupling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ahmed Aliyu Abdul Hanan Abdullah Nauman Aslam Ayman Altameem Raja Zahilah Radzi Rupak Kharel Mufti Mahmud Shiv Prakash Usman Mohammed Joda |
spellingShingle |
Ahmed Aliyu Abdul Hanan Abdullah Nauman Aslam Ayman Altameem Raja Zahilah Radzi Rupak Kharel Mufti Mahmud Shiv Prakash Usman Mohammed Joda Interference-Aware Multipath Video Streaming in Vehicular Environments IEEE Access Video streaming multipath vehicular network interference multimedia Route coupling |
author_facet |
Ahmed Aliyu Abdul Hanan Abdullah Nauman Aslam Ayman Altameem Raja Zahilah Radzi Rupak Kharel Mufti Mahmud Shiv Prakash Usman Mohammed Joda |
author_sort |
Ahmed Aliyu |
title |
Interference-Aware Multipath Video Streaming in Vehicular Environments |
title_short |
Interference-Aware Multipath Video Streaming in Vehicular Environments |
title_full |
Interference-Aware Multipath Video Streaming in Vehicular Environments |
title_fullStr |
Interference-Aware Multipath Video Streaming in Vehicular Environments |
title_full_unstemmed |
Interference-Aware Multipath Video Streaming in Vehicular Environments |
title_sort |
interference-aware multipath video streaming in vehicular environments |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
The multipath transmission is one of the suitable transmission methods for high data rate oriented communication such as video streaming. Each video packets are split into smaller frames for parallel transmission via different paths. One path may interfere with another path due to these parallel transmissions. The multipath oriented interference is due to the route coupling which is one of the major challenges in vehicular traffic environments. The route coupling increases channel contention resulting in video packet collision. In this context, this paper proposes an Interference-aware Multipath Video Streaming (I-MVS) framework focusing on link and node disjoint optimal paths. Specifically, a multipath vehicular network model is derived. The model is utilized to develop interference-aware video streaming method considering angular driving statistics of vehicles. The quality of video streaming links is measured based on packet error rate considering non-circular transmission range oriented shadowing effects. Algorithms are developed as a complete operational I-MVS framework. The comparative performance evaluation attests the benefit of the proposed framework considering various video streaming related metrics. |
topic |
Video streaming multipath vehicular network interference multimedia Route coupling |
url |
https://ieeexplore.ieee.org/document/8424025/ |
work_keys_str_mv |
AT ahmedaliyu interferenceawaremultipathvideostreaminginvehicularenvironments AT abdulhananabdullah interferenceawaremultipathvideostreaminginvehicularenvironments AT naumanaslam interferenceawaremultipathvideostreaminginvehicularenvironments AT aymanaltameem interferenceawaremultipathvideostreaminginvehicularenvironments AT rajazahilahradzi interferenceawaremultipathvideostreaminginvehicularenvironments AT rupakkharel interferenceawaremultipathvideostreaminginvehicularenvironments AT muftimahmud interferenceawaremultipathvideostreaminginvehicularenvironments AT shivprakash interferenceawaremultipathvideostreaminginvehicularenvironments AT usmanmohammedjoda interferenceawaremultipathvideostreaminginvehicularenvironments |
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1724193319910637568 |