电子学报 ›› 2014, Vol. 42 ›› Issue (8): 1564-1570.DOI: 10.3969/j.issn.0372-2112.2014.08.016

• 学术论文 • 上一篇    下一篇

基于混沌遗传的异构无线网络接入选择策略

唐良瑞1, 李文猛1, 盛洁2, 樊冰1   

  1. 1. 华北电力大学新能源电力系统国家重点实验室, 北京 102206;
    2. 苏州大学城市轨道交通学院, 江苏苏州 215021
  • 收稿日期:2013-05-06 修回日期:2014-02-24 出版日期:2014-08-25
    • 作者简介:
    • 唐良瑞男,1966年生于湖南省永州市,教授,博士生导师,主要研究方向为无线通信、信息安全、电力系统通信等.E-mail:tangliangrui@163.com;李文猛男,1989年生于河南省新乡市,华北电力大学硕士研究生,主要研究方向为无线通信和电力系统通信.E-mail:liwenmeng@yeah.net
    • 基金资助:
    • 国家科技重大专项 (No.2010ZX03006-005-001); 北京市自然科学基金 (No.14142049); 国家863高技术研究发展计划 (No.2014AA01A701)

A Chaos Genetic Algorithm Based Access Selection in Heterogeneous Wireless Networks

TANG Liang-rui1, LI Wen-meng1, SHENG Jie2, FAN Bing1   

  1. 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;
    2. School of Urban Railway Transportation, Soochow University, Suzhou, Jiangsu 215021, China
  • Received:2013-05-06 Revised:2014-02-24 Online:2014-08-25 Published:2014-08-25
    • Supported by:
    • National Science and Technology Major Project of the Ministry of Science and Technology (No.2010ZX03006-005-001); Natural Science Foundation of Beijing Municipality,  China (No.14142049); National High-tech R&D Program of China  (863 Program) (No.2014AA01A701)

摘要:

为了解决异构无线网络接入选择问题,提出一种基于混沌遗传算法的解决方法.将网络接入选择转换为一个多属性优化问题,利用混沌遗传算法解决全局寻优问题.算法首先通过超混沌系统产生初始种群和混沌扰动向量,对遗传算法进行改进;然后利用混沌遗传算法对适应度函数求解得到网络选择评价指标权重.仿真结果表明,该算法能够使新到达的用户更均匀地分布在各备选网络中,有效降低网络阻塞率并减小各候选网络阻塞率差距,实现网络的负载均衡.

关键词: 异构无线网络, 网络接入选择, 超混沌, 混沌遗传

Abstract:

In order to solve the issue of access selection in heterogeneous wireless networks,a new algorithm based on chaos genetic algorithm is proposed,of which the issue is converted into a multiple attribute optimization problem,then the chaos genetic algorithm is used to solve the global optimization problem.Firstly,a hyperchaotic system is used to generate the initial population and the chaos disturbance vector to improve the genetic algorithm,then the network selection evaluation index weight can be obtained by solving the fitness function.The simulation results show that the newly arrived users can be distributed more evenly by using the algorithm.Meanwhile,the network blocking probability and the disparity of the blocking probability of different candidate networks can be reduced effectively,so that the network load is balanced.

Key words: heterogeneous wireless network, network access selection, hyperchaotic systems, genetic algorithm

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