Language independent on-off voice over IP source model with lognormal transitions
2013 (English)In: IET COMMUNICATIONS, ISSN 1751-8628, Vol. 7, no 14, 1449-1455 p.Article in journal (Refereed) Published
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 worlds 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.
Place, publisher, year, edition, pages
INST ENGINEERING TECHNOLOGY-IET, MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND , 2013. Vol. 7, no 14, 1449-1455 p.
Internet telephony, Markov processes, telecommunication traffic, language independent on-off voice over IP source model, composite dialogue measurements, semi Markov model, traffic modelling, spoken languages, VoIP call recordings, VoIP traffic, lognormal transitions
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-102091DOI: 10.1049/iet-com.2012.0686ISI: 000326404200002OAI: oai:DiVA.org:liu-102091DiVA: diva2:668887
Funding Agencies|TSB under project HIPNET||2013-12-022013-11-292015-03-18