Interference-aware multipath video streaming in vehicular environments

Aliyu, A., Abdullah, A.H., Aslam, N., Altameem, A., Radzi, R.Z., Kharel, R., Mahmud, M. ORCID: 0000-0002-2037-8348, Prakash, S. and Joda, U.M., 2018. Interference-aware multipath video streaming in vehicular environments. IEEE Access, 6, pp. 47610-47626. ISSN 2169-3536

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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.

Item Type: Journal article
Publication Title: IEEE Access
Creators: Aliyu, A., Abdullah, A.H., Aslam, N., Altameem, A., Radzi, R.Z., Kharel, R., Mahmud, M., Prakash, S. and Joda, U.M.
Publisher: Institute of Electrical and Electronics Engineers
Date: 1 August 2018
Volume: 6
ISSN: 2169-3536
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 07 Aug 2018 08:27
Last Modified: 21 Jan 2021 11:21

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