A divide-and-conquer based improved genetic algorithm for network selection in heterogeneous wireless network
by Hui Sun; Chuang Yang; Rui Wang; Sabir Ghauri
International Journal of Modelling, Identification and Control (IJMIC), Vol. 34, No. 3, 2020

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.

Online publication date: Fri, 04-Dec-2020

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