Interference-Aware Multipath Video Streaming in Vehicular Environments

Ahmed Aliyu, Abdul Hanan Abdullah, Nauman Aslam, Ayman Altameem, Raja Zahilah Radzi, Rupak Kharel, Mufti Mahmud, Shiv Prakash, Usman Mohammed Joda

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number8424025
Pages (from-to)47610-47626
Number of pages17
JournalIEEE Access
Volume6
Early online date1 Aug 2018
DOIs
Publication statusPublished - 21 Sep 2018
Externally publishedYes

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