计算机工程与科学2025，Vol.47Issue(12)：2160-2168,9.DOI:10.3969/j.issn.1007-130X.2025.12.008
基于模糊神经网络的异构无线网络垂直切换算法
A vertical handover algorithm based on fuzzy neural network in heterogeneous wireless network
LU Qingsong 1QIU Yinghui1
作者信息
- 1. School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China
- 折叠
摘要
Abstract
Addressing the vertical handover issue in heterogeneous wireless networks,this paper pro-poses a algorithm based on hybrid filter and fuzzy neural networks,taking into account different service types and network-side parameters.Firstly,a combined approach of Kalman filter and moving average filter is employed to process the received signals.Subsequently,the processed received signal strength(RSS),bandwidth,and delay are used as inputs to the fuzzy neural network,which outputs evaluation scores for candidate networks.Finally,the system selects the optimal access network based on different service types and the evaluation scores of the networks.Simulation results demonstrate that the pro-posed algorithm can make reasonable decisions in complex and dynamic heterogeneous wireless network scenarios,effectively reducing the probabilities of handover failure and service blocking,enhancing sys-tem throughput,and ensuring the quality of service(QoS)for users.关键词
异构无线网络/垂直切换/卡尔曼滤波/滑动平均滤波/模糊神经网络Key words
heterogeneous wireless network/vertical handover/Kalman filter/moving average filter/fuzzy neural network分类
信息技术与安全科学引用本文复制引用
LU Qingsong,QIU Yinghui..基于模糊神经网络的异构无线网络垂直切换算法[J].计算机工程与科学,2025,47(12):2160-2168,9.
