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Network Coding Schemes for Multi-Layer Video Streaming on Multi-Hop Wireless Networks

Authors: Hana Baccouch; Paul-Louis Ageneau; Nicolas Tizon; Nadia Boukhatem;

Network Coding Schemes for Multi-Layer Video Streaming on Multi-Hop Wireless Networks

Abstract

In this paper, we present a simulation study of network coding schemes for multi-layer video streaming on multi-hop wireless networks. We consider in this study mainly two points: the packet loss due to the wireless environment and the unequal importance of scalable video packets. First, we study generation based network coding schemes with static and adaptive redundancy to evaluate the effect of redundancy adaptation on packet loss rate. Second, we evaluate an extension of the Expanding Window concept with a hop-by-hop coding to highlight the effect of layer discrimination for scalable video streaming. Extensive simulations have been carried out using ns- 3 for two different video test sequences with quality scalability. The simulation results show that adaptive redundancy can decrease the packet loss rate and introduce less overhead while Expanding Window can improve the PSNR of the video by reducing the base layer's packet loss.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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