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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.5 P.794~800

10.1631/jzus.2006.A0794


A network condition classification scheme for supporting video delivery over wireless Internet


Author(s):  Chan Siu-ping, Sun Ming-ting

Affiliation(s):  Department of Electrical Engineering, University of Washington, Seattle 98195, USA

Corresponding email(s):   spchan@ee.washington.edu, sun@ee.washington.edu

Key Words:  Video transport, End-to-end QoS, Wireless Internet, Network condition classification, Support Vector Machine (SVM)


Chan Siu-ping, Sun Ming-ting. A network condition classification scheme for supporting video delivery over wireless Internet[J]. Journal of Zhejiang University Science A, 2006, 7(5): 794~800.

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author="Chan Siu-ping, Sun Ming-ting",
journal="Journal of Zhejiang University Science A",
volume="7",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0794"
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%DOI 10.1631/jzus.2006.A0794

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T1 - A network condition classification scheme for supporting video delivery over wireless Internet
A1 - Chan Siu-ping
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0794


Abstract: 
Real-time video transport over wireless Internet faces many challenges due to the heterogeneous environment including wireline and wireless networks. A robust network condition classification algorithm using multiple end-to-end metrics and support Vector Machine (SVM) is proposed to classify different network events and model the transition pattern of network conditions. End-to-end Quality-of-Service (QoS) mechanisms like congestion control, error control, and power control can benefit from the network condition information and react to different network situations appropriately. The proposed network condition classification algorithm uses SVM as a classifier to cluster different end-to-end metrics such as end-to-end delay, delay jitter, throughput and packet loss-rate for the UDP traffic with TCP-friendly Rate Control (TFRC), which is used for video transport. The algorithm is also flexible for classifying different numbers of states representing different levels of network events such as wireline congestion and wireless channel loss. Simulation results using network simulator 2 (ns2) showed the effectiveness of the proposed scheme.

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Reference

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