TY - JOUR
T1 - Video streaming in urban vehicular environments
T2 - Junction-aware multipath approach
AU - Aliyu, Ahmed
AU - El-Sayed, Hesham
AU - Abdullah, Abdul Hanan
AU - Alam, Intyaz
AU - Li, Jun
AU - Prasad, Mukesh
N1 - Funding Information:
Acknowledgments: This research was supported by the Roadway, Transportation, and Traffic Safety Research Center (RTTSRC) of the United Arab Emirates University (grant number 31R151) and in part by the Science and Technology Program of Guangzhou under Grant 201704030133, A Knowledge-Connection and Cognitive-Style-based Mining System for Massive Open Online Courses and Its Application (PRO16-1300).
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/11
Y1 - 2019/11
N2 - 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).
AB - 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).
KW - Junction-aware
KW - Multimedia
KW - Multipath
KW - Next forwarding vehicle
KW - VANETs
KW - Vehicle selection
KW - Vehicular network
KW - Video streaming
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U2 - 10.3390/electronics8111239
DO - 10.3390/electronics8111239
M3 - Article
AN - SCOPUS:85074399231
SN - 2079-9292
VL - 8
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 11
M1 - 1239
ER -