A modified multiple-search multi-start framework-enhanced micro genetic algorithm for WLAN load balancing

Author

Chun-Wei Tsai ; Shi-Wei Wang ; Kai-Cheng Hu ; Ming-Chao Chiang

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Ilan Univ., Ilan, Taiwan

fYear

2015

fDate

7-10 July 2015

Firstpage

202

Lastpage

207

Abstract

The IEEE 802.11 wireless local area networks (WLANs) is the popular method for the mobile devices to access the Internet today; however, it does not provide the mechanism to balance the load of access points (APs) so as to avoid the congestion problem, thus maximizing the performance of each client. To improve the scalability of WLANs, a modified multiple-search multi-start framework for the micro-genetic algorithm (micro-GA) to decide the connection state of each client is presented in this paper. Simulation results show that the proposed algorithm outperforms GA in terms of both the computation time and the quality.

Keywords

Internet; genetic algorithms; wireless LAN; IEEE 802.11 wireless local area networks; Internet; WLAN load balancing; access points; micro-GA; modified multiple-search multistart framework-enhanced micro genetic algorithm; Bandwidth; Convergence; Genetic algorithms; Load management; Sociology; Statistics; Wireless LAN; Wireless local area network; genetic algorithm; load balance;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on

Conference_Location

Sapporo

ISSN

2288-0712

Type

conf

DOI

10.1109/ICUFN.2015.7182534

Filename

7182534