New methods for estimating/forecasting link bandwidths in 802.11b WLANs

Sridharan Muthuswamy, Ivan Marsic, A. Annamalai

Research output: Contribution to journalConference article

Abstract

Accurate assessment of the available link bandwidths in wireless networks is crucial for applications to negotiate, adapt and control quality-of-service parameters. In this paper we focus on new methods for estimating/predicting saturated throughputs (link bandwidths) in 801.11b wireless local area networks (WLANs). We propose the principle component analysis (PCA) and clustering approach for the estimation problem and the pattern modeling and recognition system (PMRS) and method of moment matching (MM) for the prediction problem. A trade off between the complexity and accuracy of the estimation/prediction algorithms is discussed and compared with the Neural Networks (NN) approach.

Original languageEnglish (US)
Pages (from-to)1163-1168
Number of pages6
JournalIEEE Vehicular Technology Conference
Volume60
Issue number2
Publication statusPublished - Dec 1 2004
Externally publishedYes
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: Sep 26 2004Sep 29 2004

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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