Name
Title | ||
|---|---|---|
A WLAN planning proposal through computational intelligence and genetic algorithms hybrid approach |
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1506270.1506322 | Mobility Conference |
Keywords | Field | DocType |
computational intelligence,measurement technique,genetic algorithm,hybrid approach,wlan planning strategy,qos itu-t recommendation,best distance,wlan planning proposal,packet loss,qos parameter,bayesian network,real wlan network,bayesian networks,wlan,quality of service,802 11g | Computational intelligence,Computer science,Computer network,Packet loss,Quality of service,Real-time computing,Bayesian network,Jitter,Throughput,IEEE 802.11g-2003,Genetic algorithm | Conference |
Citations | PageRank | References |
2 | 0.38 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jasmine Araujo | 1 | 3 | 2.43 |
| Josiane C. Rodrigues | 2 | 3 | 1.08 |
| Simone G. C. Fraiha | 3 | 3 | 1.08 |
| Hermínio Gomes | 4 | 2 | 0.72 |
| Gervasio P. dos Santos Cavalcante | 5 | 3 | 1.42 |
| Carlos R. L. Francês | 6 | 4 | 1.77 |