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).
Highlights
Wireless communication between moving vehicles is increasingly becoming the focus of research for both automobile companies and academic research communities [1,2,3]
The better performance of Junction-Aware vehicle selection for Multipath Video Streaming (JA-MVS) is connected to the consideration of junctions, which is based on three different cases: the selection of vehicle that has exited the junction, that is before the junction and inside the junction, with its navigation being towards the direction of the Destination Vehicle Node (DVN)
The JA-MVS scheme transmits video packets considering the different positions of the on-road junctions and the signal to interference plus noise ratio (SINR) as the signal quality for best forwarding vehicle selection
Summary
Wireless communication between moving vehicles is increasingly becoming the focus of research for both automobile companies and academic research communities [1,2,3]. The location and direction of a vehicle are essential when the vehicles’ signal coverage extends to a junction area because the selected Forwarding Vehicle (NFV) might change its direction of navigation, which could lead to a video packet drop, thereby affecting the quality of the video streaming. Considering different points at the junction area in order to avoid or minimize video packet error or drop. The related works based on video streaming in vehicular communication considering regular street and junction area video data forwarding are discussed
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