Hidden Markov Model Traffic Characterisation in Wireless Networks

Evangelos D. Spyrou, Dimitris Mitrakos

2016

Abstract

Quality of service wireless traffic that often exhibits burstiness, occasionally occurring due to mobility, provides a critical networking issue. Traffic patterns in wireless networks are not of a traditional nature. Nodes transmit their information in batches over a short period of time, before they lose connection. Prediction of wireless incoming load plays an important role in the design of wireless local area networks. The issues of load balancing and Quality of Service constraints are a major problem, which is responsible for the increase of throughput of the network; thus, predicting traffic can be of a great assistance in the aforementioned research directions, leading to a significant optimisation of the wireless network operation. This paper addresses the problem of traffic prediction using Hidden Markov Models. The data is clustered using the Information Based Similarity index that classifies different types of traffic. We show the limitation of this approach and we finally select Euclidean distance for data clustering. Together, they provide an efficient solution towards the solution of wireless traffic characterisation and prediction. We show the efficiency of our scheme in a series of simulations

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Paper Citation


in Harvard Style

Spyrou E. and Mitrakos D. (2016). Hidden Markov Model Traffic Characterisation in Wireless Networks . In Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-200-4, pages 78-85. DOI: 10.5220/0006227400780085


in Bibtex Style

@conference{ictrs16,
author={Evangelos D. Spyrou and Dimitris Mitrakos},
title={Hidden Markov Model Traffic Characterisation in Wireless Networks},
booktitle={Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},
year={2016},
pages={78-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006227400780085},
isbn={978-989-758-200-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - Hidden Markov Model Traffic Characterisation in Wireless Networks
SN - 978-989-758-200-4
AU - Spyrou E.
AU - Mitrakos D.
PY - 2016
SP - 78
EP - 85
DO - 10.5220/0006227400780085