Adaptive real-time VBR video traffic predictor for IEEE 802.15.3 wireless ad hoc networks

Yi Hsien Tseng, Eric Hsiao Kuang Wu, Gen Huey Chen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This paper proposes a new real-time video traffic predictor to meet increasing consumer demand for a high speed high performance wireless broadband network. It analyzes the behaviors and the problems of previous adaptive LMS-type predictors using fixed step size in detail and then proposes an adaptive predictor using variable step size for predicting bandwidth requirement of real-time VBR videos. The proposed adaptive predictor has better ability for handling scene changes and needs not change its parameters for different VBR videos. The simulation shows that the performance of the proposed adaptive predictor is better or near the optimal performance of previous adaptive LMS-type predictors using fixed step size.

Original languageEnglish
Title of host publicationChallenges in Ad Hoc Networking
Subtitle of host publicationFourth Annual Mediterranean Ad Hoc Networking Workshop, June 21-24, 2005, Ile de Porquerolles, France
EditorsK. Agha, I. Guerin Lassous, G. Pujolle
Pages321-330
Number of pages10
DOIs
StatePublished - 2006

Publication series

NameIFIP International Federation for Information Processing
Volume197
ISSN (Print)1571-5736

Keywords

  • Adaptive LMS algorithm
  • Dynamic bandwidth allocation
  • Traffic prediction

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