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CLC number: TN919.8

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Received: 2005-12-10

Revision Accepted: 2006-02-23

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.100 P.7~12

http://doi.org/10.1631/jzus.2006.AS0007


Quality incentive based congestion control for multimedia communication over IP networks


Author(s):  Johansen Stian, Kim Anna N., Perkis Andrew

Affiliation(s):  Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, Trondheim N-7034, Norway

Corresponding email(s):   stianjo@q2s.ntnu.no, annak@q2s.ntnu.no, andrew@q2s.ntnu.no

Key Words:  Congestion control, Incentives, Video communication, Joint source/channel coding, Unequal error protection


Johansen Stian, Kim Anna N., Perkis Andrew. Quality incentive based congestion control for multimedia communication over IP networks[J]. Journal of Zhejiang University Science A, 2006, 7(100): 7~12.

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doi="10.1631/jzus.2006.AS0007"
}

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T1 - Quality incentive based congestion control for multimedia communication over IP networks
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.AS0007


Abstract: 
In this paper we introduce a framework for using quality as an incentive to promote proper application level congestion control. Through integrating a joint-source channel coder and feedback-based congestion control scheme, we are able to construct accurate and efficient quality incentives. The framework is applicable in all network architectures where end-to-end congestion control may be used, and is as such not specific to either best-effort or traffic class-based architectures. The concept is presented along with preliminary simulations that highlight the resulting rate control accuracy. We also discuss how to implement some well-known congestion control schemes within our framework.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Charfi, Y., 2004. Efficient Error Protection for Image and Video Transmission over Noisy Channels. Ph.D Thesis, University Konstanz, Germany.

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[3] Floyd, S., Handley, M., Padhye, J., Widmer, J., 2000. Equation-Based Congestion Control for Unicast Applications. ACM SIGCOMM Communication Review, p.43-56.

[4] Kim, B.J., Pearlman, W., 1997. An Embedded Wavelet Video Coder Using Three-Dimensional Set Partitioning in Hierachical Trees. Proceedings of Data Compression Conference. Snowbird, USA.

[5] Lee, K.W., Kim, T., Bharghavan, V., 2001. A Comparison of Two Popular End-to-End Congestion Control Algorithms: the Case of AIMD and AIPD. Proceedings of GLOBECOMM.

[6] Mohr, A.E., Riskin, E.A., Ladner, R.E., 2000. Unequal loss protection: graceful degradation over packet erasure channels through forward error correction. Journal on Selected Areas in Communication, 18(6):819-828.

[7] Puri, R., Lee, K.W., Ramchandran, K., Bharghavan, V., 2001. An integrated source tarnscoding and congestion control paradigm for video streaming in the Internet. IEEE Trans. on Multimedia, 3(1):18-32.

[8] Rejaie, R., Handley, M., Estrin, D., 1999. RAP an End-to-End Rate-Based Congestion Control Mechanism for Realtime Streams in the Internet. Proceedings of INFOCOMM.

[9] Stankovic, V., Hamzaoui, R., Xiong, Z., 2002. Packet Loss Protection of Embedded Data with Fast Local Search. Proceedings of IEEE International Conference on Image Processing. Rochester, NY, USA.

[10] Yee, J.R., Weldon, E.J., 1995. Evaluation of the performance of error-correcting codes on a Gilbert channel. IEEE Trans. on Communications, 43(8):2316-2323.

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