[1]夏玮玮,沈连丰.一种基于模糊神经网络的异构网络选择算法[J].东南大学学报(自然科学版),2010,40(4):663-669.[doi:10.3969/j.issn.1001-0505.2010.04.001]
 Xia Weiwei,Shen Lianfeng.A network selection algorithm based on fuzzy neural network for heterogeneous networks[J].Journal of Southeast University (Natural Science Edition),2010,40(4):663-669.[doi:10.3969/j.issn.1001-0505.2010.04.001]
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一种基于模糊神经网络的异构网络选择算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
40
期数:
2010年第4期
页码:
663-669
栏目:
信息与通信工程
出版日期:
2010-07-20

文章信息/Info

Title:
A network selection algorithm based on fuzzy neural network for heterogeneous networks
作者:
夏玮玮 沈连丰
东南大学移动通信国家重点实验室, 南京 210096
Author(s):
Xia Weiwei Shen Lianfeng
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
关键词:
异构网络 网络选择 模糊神经网络 预判决
Keywords:
heterogeneous networks network selection fuzzy neural network pre-decision
分类号:
TN929.5
DOI:
10.3969/j.issn.1001-0505.2010.04.001
摘要:
提出了应用于异构网络融合场景的基于模糊神经网络的网络选择算法.该算法由预判决、模糊神经网络处理和网络选择判决3个模块组成.引入预判决模块,滤除了能直接进行网络选择的采样点,减少了进入模糊神经网络的采样点数; 模糊神经网络处理模块综合考虑信号强度、终端移动速度以及网络带宽等因素来进行网络选择判决; 由于模糊神经网络具有学习训练能力,故能根据输出误差自适应调整隶属度函数的参数.仿真结果表明:提出的算法在保证较低丢包率的情况下,有效降低了网络选择判决时延,减少了乒乓效应的发生次数,降低了阻塞率.
Abstract:
A fuzzy neural network based network selection algorithm is proposed, which can be applied to the integrated environments of heterogeneous networks. The proposed algorithm consists of three modules including pre-decision, fuzzy neural network processing and the decision of network selection. By applying the pre-decision module, the samples which can be used to select the appropriate network directly are filtered and the number of samples entering into fuzzy neural network is decreased. Radio signal strength, terminal moving speed and network bandwidth are taken into account as the decision factors in the fuzzy neural network processing module. Because reinforcement learning procedure is included in the fuzzy neural network, the parameters of membership function can be adjusted adaptively according to the output errors. The simulations show that the proposed algorithm can decrease the decision delay of network selection, reduce the happening times of ping-pong effect, and decrease the blocking probability on the condition of guaranteeing the lower packet dropping probability.

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备注/Memo

备注/Memo:
作者简介: 夏玮玮(1975—),女,博士生,副研究员; 沈连丰(联系人),男,教授,博士生导师,lfshen@seu.edu.cn.
基金项目: 国家重点基础研究发展计划(973计划)资助项目(2007CB310606)、东南大学移动通信国家重点实验室自主研究课题资助项目(2009A08).
引文格式: 夏玮玮,沈连丰.一种基于模糊神经网络的异构网络选择算法[J].东南大学学报:自然科学版,2010,40(4):663-669. [doi:10.3969/j.issn.1001-0505.2010.04.001]
更新日期/Last Update: 2010-07-20