An efficient hybrid algorithm for balancing the load of wireless local area network. (November 2016)

• Record Type: Journal Article
• Authors: Hu, Kai-Cheng; Wang, Shih-Wei; Chiang, Ming-Chao; Tsai, Chun-Wei
• Is Part Of: Computers & electrical engineering. Volume 56(2016)
• Page Start: 243
• Page End: 261
• Publication Date: 2016-11
• Subjects: Wireless local area network -- Genetic algorithm -- Load balance -- Metaheuristic -- Multi-start; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2016.09.036
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: An efficient and effective genetic algorithm for WLAN load balancing called MMM-GA is proposed. Simulations show that MMM-GA provides a higher bandwidth than GA. Simulations show that MMM-GA takes much less computation time than GA. Graphical abstract: Abstract: 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.