A WLAN planning proposal through computational intelligence and genetic algorithms hybrid approach

Authors:
Jasmine P. L. Araújo;Josiane C. Rodrigues;Simone G. Fraiha;Hermínio Gomes;Gervásio P. S. Cavalcante;Carlos R. L. Francês
Affiliations:
Federal University of Pará, Belém, Pará, Brazil;Federal University of Pará, Belém, Pará, Brazil;Federal University of Pará, Belém, Pará, Brazil;Federal University of Pará, Belém, Pará, Brazil;Federal University of Pará, Belém, Pará, Brazil;Federal University of Pará, Belém, Pará, Brazil
Venue:
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Year:
2008

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Abstract

This paper proposes a WLAN planning strategy through the use of computational intelligence and genetic algorithm. A measurement technique was used to collect data from a real WLAN network. Metrics like power, distance, delay, jitter, packet loss, throughput and PMOS were analysed through the use of bayesian networks. Finally, to optimize the QoS parameters a genetic algorithm was applied to find the best distance from the AP to support the QoS ITU-T recommendations.