A divide-and-conquer based improved genetic algorithm for network selection in heterogeneous wireless network. (30th November 2020)

• Record Type: Journal Article
• Authors: Sun, Hui; Yang, Chuang; Wang, Rui; Ghauri, Sabir
• Is Part Of: International journal of modelling, identification and control. Volume 34:Number 3(2020)
• Page Start: 217
• Page End: 224
• Publication Date: 2020-11-30
• Subjects: aircraft cabin -- wireless network -- heterogeneous -- divide-and-conquer -- cognitive radio -- network access -- improved genetic algorithm; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

Abstract

Developing and using wireless network is a trend to serve passengers in aircraft cabins. Cognitive radio technology can be used in aircraft cabin wireless environment to solve the spectrum resource scarcity problem. Heterogeneous network access issue should be noticeable in cognitive radio wireless networks. In this paper, an improved genetic algorithm (GA) based on divide-and-conquer is proposed to handle this problem. The proposed approach is compared with original GA, particle swarm optimisation (PSO) algorithm and tabu search (TS) algorithm. The simulation results prove that the proposed method can obtain greater bandwidth with higher efficiency.