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Wireless Networks

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01-08-2013

A joint parametric prediction model for wireless internet traffic using Hidden Markov Model

Authors: Sumit Maheshwari, Sudipta Mahapatra, C. S. Kumar, K. Vasu

Published in: Wireless Networks | Issue 6/2013

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Abstract

Addressing performance related issues of networks and ensuring better Quality of Service (QoS) for end-users calls for simple, tractable and realistic traffic models. The work reported here focuses on modelling the Wireless Internet traffic using realistic traffic traces collected over wireless networks and forecasting the end-to-end QoS parameters for the networks. A measurement framework is set-up to collect the QoS parameters and a traffic model is designed based on Hidden Markov Model considering joint distribution of End to End Delay (E2ED or d), Inter-Packet Delay Variation (IPDV) and Packet Size. States are mapped to the four traffic classes namely conversational, streaming, interactive, and background. The model is validated by forecasting QoS parameters and the results are shown to be within the tolerance limit.

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GRID: www.grid.unina.it/Traffic

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Title: A joint parametric prediction model for wireless internet traffic using Hidden Markov Model
Authors: Sumit Maheshwari
Sudipta Mahapatra
C. S. Kumar
K. Vasu
Publication date: 01-08-2013
Publisher: Springer US
Published in: Wireless Networks / Issue 6/2013
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-012-0525-1

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