Application of wavelet denoising to the detection of shared congestion in overlay multimedia networks

Taekhyun Kim, Yong June Shin, Edward J. Powers, Min Sik Kim, Simon S. Lam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The overlay network approach is an emerging technique to satisfy the strict requirements for various real-time multimedia services. However, overlay networks suffer from a shared congestion problem since each unicast flow may interfere with each other in the common underlying links. Most previous techniques to detect shared congestion have limitations when applied as a general solution, since they assume perfect synchronization between probing packets. However, our recent work shows that a technique based on wavelet denoising can overcome the limitations by mitigating the interfering effects such as synchronization offset and the random fluctuations of queueing delay; the proposed technique provides a more robust and accurate detection in the presence of a large amount of synchronization offset In this paper, wavelet denoising is tailored to the characteristics of queueing delay on packet networks. The wavelet denoising based technique is verified through extensive simulations. The efficacy of the proposed approach is demonstrated by the detection accuracy and convergence speed.

Original languageEnglish
Title of host publication2004 IEEE 6th Workshop on Multimedia Signal Processing
Pages474-477
Number of pages4
Publication statusPublished - 2004
Event2004 IEEE 6th Workshop on Multimedia Signal Processing - Siena, Italy
Duration: 2004 Sep 292004 Oct 1

Publication series

Name2004 IEEE 6th Workshop on Multimedia Signal Processing

Other

Other2004 IEEE 6th Workshop on Multimedia Signal Processing
CountryItaly
CitySiena
Period04/9/2904/10/1

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Engineering(all)

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