A methodology for capacity planning and performance evaluation of wireless networks based on measuring and Bayesian inference: A Brazilian amazon approach

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).