Video streaming in urban vehicular environments: Junction-aware multipath approach

Ahmed Aliyu, Hesham El-Sayed, Abdul Hanan Abdullah, Intyaz Alam, Jun Li, Mukesh Prasad

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    In multipath video streaming transmission, the selection of the best vehicle for video packet forwarding considering the junction area is a challenging task due to the several diversions in the junction area. The vehicles in the junction area change direction based on the different diversions, which lead to video packet drop. In the existing works, the explicit consideration of different positions in the junction areas has not been considered for forwarding vehicle selection. To address the aforementioned challenges, a Junction-Aware vehicle selection for Multipath Video Streaming (JA-MVS) scheme has been proposed. The JA-MVS scheme considers three different cases in the junction area including the vehicle after the junction, before the junction and inside the junction area, with an evaluation of the vehicle signal strength based on the signal to interference plus noise ratio (SINR), which is based on the multipath data forwarding concept using greedy-based geographic routing. The performance of the proposed scheme is evaluated based on the Packet Loss Ratio (PLR), Structural Similarity Index (SSIM) and End-to-End Delay (E2ED) metrics. The JA-MVS is compared against two baseline schemes, Junction-Based Multipath Source Routing (JMSR) and the Adaptive Multipath geographic routing for Video Transmission (AMVT), in urban Vehicular Ad-Hoc Networks (VANETs).

    Original languageEnglish
    Article number1239
    JournalElectronics (Switzerland)
    Volume8
    Issue number11
    DOIs
    Publication statusPublished - Nov 2019

    Keywords

    • Junction-aware
    • Multimedia
    • Multipath
    • Next forwarding vehicle
    • VANETs
    • Vehicle selection
    • Vehicular network
    • Video streaming

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Signal Processing
    • Hardware and Architecture
    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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