Rate-user-perceived-quality aware replication strategy for video streaming over wireless mesh networks

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Author(s): Nguyen-Son Vo, Wenqing Chen, Quang Trung Duong
Title: Rate-user-perceived-quality aware replication strategy for video streaming over wireless mesh networks
Journal: KSII Transactions on Internet and Information Systems
Year: 2011
Volume: 5
Issue: 11
Pagination: 2103-2120
ISSN: 1976-7277
Publisher: Korea Society of Internet Information
URI/DOI: 10.3837/tiis.2011.11.013
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Language: English
Abstract: In this research, we consider the replication strategy for the applications of video streaming in wireless mesh networks (WMNs). In particular, we propose a closed-form of optimal replication densities for a set of frames of a video streaming by exploiting not only the skewed access probability of each frame but also the skewed loss probability and skewed encoding rate-distortion information. The simulation results demonstrate that our method improves the replication performance in terms of user-perceived quality (UPQ) which includes: 1) minimum average maximum reconstructed distortion for high peak signal-to-noise ratio (PSNR), 2) small reconstructed distortion fluctuation among frames for smooth playback, and 3) reasonable average maximum transmission distance for continuous playback. Furthermore, the proposed strategy consumes smaller storage capacity compared to other existing optimal replication strategies. More importantly, the effect of encoding rate is carefully investigated to show that high encoding rate does not always gain high performance of replication for video streaming.
Subject: Computer Science\Networks and Communications
Keywords: Rate-distortion, Replication strategy, User-perceived quality, Wireless mesh networks
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