A Methodology for Capacity Planning and Performance Evaluation of Wireless Networks Based on Measuring and Bayesian Inference: a Brazilian Amazon Approach

Jasmine Araujo; Josiane Rodrigues; Simone Fraiha; Herminio Gomes; Gervasio Cavalcante; Carlos Frances

3rd International ICST Workshop on Wireless Community Networks

Research Article

A Methodology for Capacity Planning and Performance Evaluation of Wireless Networks Based on Measuring and Bayesian Inference: a Brazilian Amazon Approach

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2008.4685279,
    author={Jasmine Araujo and Josiane Rodrigues and Simone Fraiha and Herminio Gomes and Gervasio Cavalcante and Carlos Frances},
    title={A Methodology for Capacity Planning and Performance Evaluation of Wireless Networks Based on Measuring and Bayesian Inference: a Brazilian Amazon Approach},
    proceedings={3rd International ICST Workshop on Wireless Community Networks},
    publisher={IEEE},
    proceedings_a={COMNETS},
    year={2008},
    month={11},
    keywords={Performance evaluation QoS Bayesian networks WLAN design},
    doi={10.1109/CHINACOM.2008.4685279}
}

Jasmine Araujo
Josiane Rodrigues
Simone Fraiha
Herminio Gomes
Gervasio Cavalcante
Carlos Frances
Year: 2008
A Methodology for Capacity Planning and Performance Evaluation of Wireless Networks Based on Measuring and Bayesian Inference: a Brazilian Amazon Approach
COMNETS
IEEE
DOI: 10.1109/CHINACOM.2008.4685279

Jasmine Araujo¹^,*, Josiane Rodrigues²^,*, Simone Fraiha¹^,*, Herminio Gomes¹^,*, Gervasio Cavalcante¹^,*, Carlos Frances¹^,*

1: Institute of Technology, Federal University of Para Belem Campus, Augusto Correa Avenue s/n, Belem, Para, Brasil, Zip Code: 66075-900
2: Institute of Technology, Federal University of Para Belem Campus, Augusto Corrˆea Avenue s/n, Belem, Para, Brasil, Zip Code: 66075-900

*Contact email: jasmine@ufpa.br, josi@ufpa.br, fraiha@ufpa.br, herminio@ufpa.br, gervasio@ufpa.br, rfrances@ufpa.br

Abstract

This paper presents a methodology for capacity planning and performance evaluation based on hybrid approach that considers measuring and Bayesian inference applied to wireless networks, considering QoS parameters. The models take into account a crosslayer vision of networks, correlating aspects of the physical environment, on the signal propagation (power or distance) with aspects of VoIP applications (e.g., jitter and packet loss). A case study is carried out considering indoor environment (research laboratory) and outdoor environment with important characteristics of the Amazon region (e.g., densely arboreous environments).

Keywords: Performance evaluation QoS Bayesian networks WLAN design

Published: 2008-11-21
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2008.4685279