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ThinkMind // ICN 2015, The Fourteenth International Conference on Networks // View article icn_2015_7_20_30096


Prediction Metrics for QoE/QoS in Wireless Video Networks for Indoor Environmental Planning: a Bayesian Approach

Authors:
Andre Augusto Pacheco de Carvalho
João Victor Costa Carmona
Jasmine Priscyla Leite de Araujo
Simone da Graça de Castro Fraiha
Hermínio Simões Gomes
Gervásio Protásio dos Santos Cavalcante

Keywords: QoE, QoS, measurements, simulation, Bayesian networks, wireless networks.

Abstract:
The evolution of applications on wireless networks has grown in recent years due to the growth in the number of users of mobile phones, tablets, and other. The availability of demanding services, such as video transmission affect the Quality of Experience (QoE) and Quality of service (QoS) provided domestic and commercial users, it has stimulated the study of new techniques of management of network resources, always having as objective to provide high quality services to an increasingly demanding customer. This paper presents a methodology of Artificial Intelligence, using the technique of Bayesian networks, as a hybrid evaluation strategy by analyzing the behavior of QoE and QoS metrics, in designing wireless LAN. So, by manipulating the basis of Bayesian networks, it was possible to find satisfactory results for the proposed solution helps the planning of wireless networks in indoor environments, which does not exclude the possibility of using this approach for other situations.

Pages: 171 to 176

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-398-8

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2015

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