Abstract
In video streaming over vehicular communication, optimal selection of a video packet forwarder is a daunting issue due to the dynamic nature of Vehicular Ad-hoc NETworks (VANETs)and the high data rates of video. In most of the existing studies, extensive considerations of the essential metrics have not been considered. In order to achieve quality video streaming in vehicular network, important metrics for link connectivity and bandwidth efficiency need to be employed to minimize video packet error and losses. In order to address the aforementioned issues, a Road-based Multi-metric Forwarder Evaluation scheme for Multipath Video Streaming (RMF-MVS) has been proposed. The RMF-MVS scheme is adapted to be a Dynamic Self-Weighting score (DSW) (RMF-MVS+DSW) for forwarder vehicle selection. The scheme is based on multipath transmission. The performance of the scheme is evaluated using Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM), Packet Loss Ratio (PLR) and End-to-End Delay (E2ED) metrics. The proposed scheme is compared against two baseline schemes including Multipath Solution with Link and Node Disjoint (MSLND) and Multimedia Multi-metric Map-aware Routing Protocol (3MRP) with DSW (3MRP+DSW). The comparative performance assessment results justify the benefit of the proposed scheme based on various video streaming related metrics.
Highlights
Noticeable progress has been made towards the deployment of Vehicular Ad-hoc NETworks (VANETs) for transportation systems [1]
The Packet Loss Ratio (PLR) is calculated based on the ratio of video packet drop to the actual amount of video packet transmitted from source vehicle to the destination vehicle [11,33], while the E2ED is the summation of time taken for video packet to be transmitted from source vehicle to destination vehicle [34,35]
The performance of RMF-MVS scheme is assessed in terms of Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM) index, which are Quality of Experience (QoE) measure and E2ED, which is sometimes considered as Quality of Service (QoS) metric based on different densities of vehicles and different data rates of the video streaming
Summary
Noticeable progress has been made towards the deployment of Vehicular Ad-hoc NETworks (VANETs) for transportation systems [1]. The noise ratio in the signal, which is due to obstruction and interference of external objects, is considered for forwarder vehicle selection Both Tripp-Barba et al [10] and Mezher and Igartua [11] have suggested a scheme based on a multi-metric map-aware concept in order to achieve efficient data delivery. The multi-metric considered includes distance, vehicle density, vehicle trajectory, available bandwidth estimation and MAC layer losses These metrics are important for the achievement of quality video delivery. A Road-based Multi-metric Forwarder evaluation for Multipath Video Streaming (RMF-MVS) has been proposed considering link connectivity and bandwidth efficiency of a forwarding vehicle. The related works based on video streaming in vehicular communication considering multi-metrics are discussed
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