An efficient hybrid algorithm for balancing the load of wireless local area network

被引：1

作者：

Hu, Kai-Cheng ^{[1
]}

Wang, Shih-Wei ^{[1
]}

Chiang, Ming-Chao ^{[1
]}

Tsai, Chun-Wei ^{[2
]}

机构：

[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan

[2] Natl Ilan Univ, Dept Comp Sci & Informat Engn, Yilan 26047, Taiwan

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2016年 / 56卷

关键词：

Wireless local area network; Genetic algorithm; Load balance; Metaheuristic; Multi-start; INTERNET; COVERAGE; THINGS;

D O I：

10.1016/j.compeleceng.2016.09.036

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Although the IEEE 802.11 wireless local area network (WLAN) provides users of mobile device a convenient method to connect to the Internet, the load of access points (APs) may have a strong impact on the performance of a WLAN, such as the congestion problem. To avoid this issue and to maximize the performance and scalability of a WLAN, an effective method for balancing the load of APs, called a modified multiple-search multi-start framework based micro-genetic algorithm, is presented in this paper. Simulation results show that the proposed algorithm gives a much better solution than the original genetic algorithm does in terms of both the quality and the computation time. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：243 / 261

页数：19

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