Language independent on-off voice over IP source model with lognormal transitions


The recent explosive growth of voice over IP (VoIP) solutions calls for accurate modelling of VoIP traffic. This study presents measurements of ON and OFF periods of VoIP activity from a significantly large database of VoIP call recordings consisting of native speakers speaking in some of the world's most widely spoken languages. The impact of the languages and the varying dynamics of caller interaction on the ON and OFF period statistics are assessed. It is observed that speaker interactions dominate over language dependence which makes monologue-based data unreliable for traffic modelling. The authors derive a semi-Markov model which accurately reproduces the statistics of composite dialogue measurements.

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Divisions: College of Engineering & Physical Sciences > Adaptive communications networks research group
College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
Uncontrolled Keywords: language independent on-off voice over IP source model,traffic modelling,semi Markov model,VoIP traffic,spoken languages,VoIP call recordings,composite dialogue measurements,lognormal transitions
Publication ISSN: 1751-8636
Last Modified: 04 Jan 2024 08:16
Date Deposited: 15 Oct 2013 14:45
Full Text Link: http://digital- ... t-com.2012.0686
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2013-09-24
Authors: Shaikh, Ahmed D.
Blow, Keith J. (ORCID Profile 0000-0002-7859-3438)
Eberhard, Marc A. (ORCID Profile 0000-0002-9818-9651)
Fowler, Scott A.



Version: Accepted Version

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