Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-Layer Priority Queuing Scheme

Shiang, Hsien-Po; Schaar, Mihaela van der

doi:10.1109/iih-msp.2006.264992

Cited by 5 publications

(11 citation statements)

References 7 publications

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“…Overall, the set of N u users will upload the subset of their layers, jointly described by vector l = {l (1) , l (2) , . .…”

Section: Upload Phasementioning

confidence: 99%

“…Real-time multi-user (or multi-party) video streaming refers to a scenario where multiple users, interconnected by a common communication network, perform real-time exchange of video streams [1,2]. Each of the users continuously creates its own video stream and is interested in the continuous and real-time recovery of the streams generated by a subset or the set of all the other users.…”

Section: Introductionmentioning

confidence: 99%

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Multi-user video streaming using unequal error protection network coding in wireless networks

Vukobratović

Stanković

2012

J Wireless Com Network

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In this article, we investigate a multi-user video streaming system applying unequal error protection (UEP) network coding (NC) for simultaneous real-time exchange of scalable video streams among multiple users. We focus on a simple wireless scenario where users exchange encoded data packets over a common central network node (e.g., a base station or an access point) that aims to capture the fundamental system behaviour. Our goal is to present analytical tools that provide both the decoding probability analysis and the expected delay guarantees for different importance layers of scalable video streams. Using the proposed tools, we offer a simple framework for design and analysis of UEP NC based multi-user video streaming systems and provide examples of system design for video conferencing scenario in broadband wireless cellular networks.

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“…Overall, the set of N u users will upload the subset of their layers, jointly described by vector l = {l (1) , l (2) , . .…”

Section: Upload Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-user video streaming using unequal error protection network coding in wireless networks

Vukobratović

Stanković

2012

J Wireless Com Network

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“…against the product of and from (7). In (15), is the obtained using perfect channels, no buffer overflows and the best available video encoder rate.…”

Section: Optimal Video and Channel Encoder Ratesmentioning

confidence: 99%

“…Lastly, functionalities handled at different layers of the communication protocol stack are inherently and strictly coupled due to the shared nature of the communication channel. Hence, different functionalities aimed at QoS provisioning should not be treated separately when efficient solutions are sought, i.e., a cross-layer design approach is needed [5], [6], [7], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

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A distortion-minimizing rate controller for wireless multimedia sensor networks

Pudlewski

Melodia

2010

Computer Communications

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Abstract-The availability of inexpensive CMOS cameras and microphones that can ubiquitously capture multimedia content from the environment is fostering the development of Wireless Multimedia Sensor Networks (WMSNs), i.e., distributed systems of wirelessly networked devices that can retrieve video and audio streams, still images, and scalar sensor data. WMSNs require the sensor network paradigm to be re-thought in view of the need for mechanisms to deliver multimedia content with a pre-defined level of quality of service (QoS).A new rate control scheme for WMSNs is introduced in this paper with a two-fold objective: i) maximize the video quality of each individual video stream; ii) maintain fairness in video quality between different video streams. The rate control scheme is based on both analytical and empirical models and consists of a new cross-layer control algorithm that jointly regulates the end-to-end data rate, the video quality, and the strength of the channel coding at the physical layer. The end-to-end data rate is regulated to avoid congestion while maintaining fairness in the domain of video quality rather than data rate. Once the endto-end data rate has been determined, the sender adjusts the video encoder rate and the channel encoder rate based on the overall rate and the current channel quality, with the objective of minimizing the distortion of the received video. Simulations show that the proposed algorithm considerably improves the received video quality without sacrificing fairness.

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Informationally Decentralized Video Streaming Over Multihop Wireless Networks

Shiang

Schaar

2007

IEEE Trans. Multimedia

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Abstract-Various packet scheduling, dynamic routing, error-protection, and channel adaptation strategies have been proposed at different layers of the protocol stack to address multi-user video streaming over multihop wireless networks. However, these cross-layer transmission strategies can be efficiently optimized only if they use accurate information about the network conditions and hence, are able to timely adapt to network changes. Due to the informationally decentralized nature of the multihop wireless network, performing centralized optimization for delay-sensitive video streaming application based on global information about the network status is not practical. Distributed solutions that adapt the transmission strategies based on timely information feedback need to be considered. To acquire this information feedback for cross-layer adaptation, we deploy an overlay infrastructure, which is able to relay the necessary information about the network status and incurred delays across different network "horizons" (i.e., across a different number of hops in a predetermined period of time). In this paper, we propose a distributed streaming approach that is optimized based on the local information feedback acquired from the various network horizons. We investigate the distributed cross-layer adaptation at each wireless node by considering the advantages resulting from an accurate and frequent network information feedback from larger horizons as well as the drawbacks resulting from an increased transmission overhead. Based on the information feedback, we can estimate the risk that packets from different priority classes will not arrive at their destination before their decoding deadline expires. Subsequently, the various transmission strategies such as packet scheduling, retransmission limit and dynamic routing policies are adapted to jointly consider the estimated risk as well as the impact in terms of distortion of the different priority classes. Our results show that the proposed dynamic routing policy based on timely information feedback outperforms existing state-of-the-art on-demand routing solutions by more than 2 dB in terms of the received video quality.Index Terms-Decentralized information feedback, dynamic routing, multihop wireless networks, video streaming.

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Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-Layer Priority Queuing Scheme

Cited by 5 publications

References 7 publications

Multi-user video streaming using unequal error protection network coding in wireless networks

Multi-user video streaming using unequal error protection network coding in wireless networks

A distortion-minimizing rate controller for wireless multimedia sensor networks

Informationally Decentralized Video Streaming Over Multihop Wireless Networks

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