Title: A divide-and-conquer based improved genetic algorithm for network selection in heterogeneous wireless network

Authors: Hui Sun; Chuang Yang; Rui Wang; Sabir Ghauri

Addresses: Department of Automation, College of Information Engineering and Automation, Civil Aviation University of China, Tianjin 300300, China; Department of Engineering Design and Mathematics, University of the West of England, Frenchy Campus, Coldharbour Lane, Bristol, BS16 1QY, UK ' Department of Automation, College of Information Engineering and Automation, Civil Aviation University of China, Tianjin 300300, China ' Department of Electrical Engineering, College of Information Engineering and Automation, Civil Aviation University of China, Tianjin 300300, China ' Department of Engineering Design and Mathematics, University of the West of England, Frenchy Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

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.

Keywords: aircraft cabin; wireless network; heterogeneous; divide-and-conquer; cognitive radio; network access; improved genetic algorithm.

DOI: 10.1504/IJMIC.2020.111625

International Journal of Modelling, Identification and Control, 2020 Vol.34 No.3, pp.217 - 224

Received: 10 Oct 2019
Accepted: 15 Jan 2020

Published online: 30 Nov 2020 *

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