Strategy for Wireless Local Area Networks Planning and Performance Evaluation through Bayesian Networks as Computational Intelligence Approach
Jasmine Araújo, Josiane C. Rodrigues, Simone G. C. Fraiha, Hermínio S. Gomes, Gervsio Cavalcante, Carlos Renato · Sciyo eBooks · 2010
In this chapter a novel WLAN planning and performance evaluation strategy with computational intelligence approach, i.e., bayesian networks was presented. The measuring technique was used through an empirical study concerning the behavior of the QoS parameters of an VoIP application in 802.11g network. This study was performed in two different indoors and outdoors environments, characterizing two types of scenarios. This was done to establish the correlation between the behavior of the QoS parameters and the distance. The main contribution of the Bayesian strategy is the use of computational intelligence to differentiate the two environments and to validate the robustness of the methodology proposed here. Another contribution is about the installation of new hot spots at digital cities, that must be installed at State of Pará. In addition, due to the large application of wireless LAN, this strategy can be applied in real engineering design. This methodology will aid the decision makers where to locate the access point to better attend the public offices, according on the applications that must be used. It is important to mention that Bayesian network offers an