Optimization Design of Wireless Local Area Network Based on Improved Adaptive Genetic Algorithm

Author

Liu, Song ; Zhong, Chongquan ; Li Zhang ; Zhang, Liqian

Author_Institution

Dept. of Autom., Dalian Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3357

Lastpage

3360

Abstract

Locating access point (AP) and achieving wireless network covering with the fewest access points is a difficult research point in the wireless local area network (WLAN) design. The cost of organizing WLAN can be reduced effectively if the problem is resolved. Based on analyzing the transmission model of WLAN, a new optimized model was built. The improved adaptive genetic algorithm (IAGA) was introduced at the same time. It is able to optimize multi-objective constrained problem and determine the distribution of each AP of WLAN. Through computing the examples, the simulation result displays the efficiency of the scheme evidently

Keywords

constraint theory; genetic algorithms; wireless LAN; access point; improved adaptive genetic algorithm; multiobjective constrained problem; optimization design; transmission model; wireless local area network; Algorithm design and analysis; Computational modeling; Computer displays; Constraint optimization; Costs; Design optimization; Genetic algorithms; Organizing; Wireless LAN; Wireless networks; Access Point; Genetic Algorithm; Improved Adaptive; WLAN; model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712990

Filename

1712990