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

被引：7

作者：

Sun, Hui ^{[1
,2
]}

Yang, Chuang ^{[1
]}

Wang, Rui ^{[3
]}

Ghauri, Sabir ^{[2
]}

机构：

[1] Civil Aviat Univ China, Dept Automat, Coll Informat Engn & Automat, Tianjin 300300, Peoples R China

[2] Univ West England, Dept Engn Design & Math, Frenchy Campus,Coldharbour Lane, Bristol BS16 1QY, Avon, England

[3] Civil Aviat Univ China, Dept Elect Engn, Coll Informat Engn & Automat, Tianjin 300300, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2020年 / 34卷 / 03期

关键词：

aircraft cabin; wireless network; heterogeneous; divide-and-conquer; cognitive radio; network access; improved genetic algorithm; COGNITIVE RADIO NETWORKS; SPECTRUM ASSIGNMENT; OPTIMIZATION; ALLOCATION;

D O I：

10.1504/IJMIC.2020.111625

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：217 / 224

页数：8

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