A Network Selection Algorithm Based on Improved Genetic Algorithm

被引：0
|
作者：
Chen, Juanmin [1 ]
Zhang, Damin [1 ]
Liu, Dong [1 ]
Pan, Zhiyan [1 ]
机构：
[1] Guizhou Univ, Coll Data & Informat Engn, Guiyang, Guizhou, Peoples R China
来源：
2018 IEEE 18TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT) | 2018年
关键词：
heterogeneous wireless network; network selection; genetic algorithm; QoS; TOPSIS algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, for the defects which the basic genetic algorithm can get local optimum easily and converge slowly, the genetic algorithm is improved by constructing a suitable fitness function and improving genetic operators. Meanwhile, the improved genetic algorithm is applied to select optimal access network in integrated heterogeneous wireless networks. According to Quality of Service (QoS) requirements of different business types, compared with combined the analytic hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS) and the basic genetic algorithm, the simulation results indicate that the improved genetic algorithm can find a network with higher fitness and better meet different QoS.
引用
收藏
页码：209 / 214
页数：6
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