2017
DOI: 10.1109/tmm.2017.2742399
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Reliable Video Streaming With Strict Playout Deadline in Multihop Wireless Networks

Abstract: Motivated by emerging vision-based intelligent services, we consider the problem of rate adaptation for high quality and low delay visual information delivery over wireless networks using scalable video coding. Rate adaptation in this setting is inherently challenging due to the interplay between the variability of the wireless channels, the queuing at the network nodes and the frame-based decoding and playback of the video content at the receiver at very short time scales. To address the problem, we propose a… Show more

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Cited by 9 publications
(4 citation statements)
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“…The study outcome shows better quality of signal transmission. Similar direction of study is also carried out by Al-Zubaidy et al [25] where the idea is about achieving reliability towards video streaming process. The authors have used scalable video coding mechanism for this purpose.…”
Section: Related Workmentioning
confidence: 77%
“…The study outcome shows better quality of signal transmission. Similar direction of study is also carried out by Al-Zubaidy et al [25] where the idea is about achieving reliability towards video streaming process. The authors have used scalable video coding mechanism for this purpose.…”
Section: Related Workmentioning
confidence: 77%
“…It is used to stabilize the user's playback buffer near some target values under the dynamic network conditions due to user mobility and fading effects. In [15], a low complexity scalable video streaming system is proposed based on model-based rate adaptive algorithm in multihop wireless networks. Then, a quantifiable measure of end-to-end quality of service is proved as a function of link quality, and it can be converted into useful quality of experience metrics for video playback.…”
Section: Related Work a Data Sharing Algorithms In Manetsmentioning
confidence: 99%
“…It is worth noting that alternative stochastic network calculus approaches exist that may be used for this analysis including effective capacity [23] and MGF-based analysis [24]. Nevertheless, the usefulness of the approach in [22] that we employ is most apparent when applied to wireless fading channels as the Mellin transform M S is already derived for many fading channels in the literature, e.g., [9,11,25]. This makes the approach particularly attractive for wireless networks analysis.…”
Section: A Stochastic Network Calculusmentioning
confidence: 99%