Fault detection and diagnosis method for heterogeneous wireless network based on GAN

Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was...

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Main Authors: Xiaorong ZHU, Peipei ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020165/
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author Xiaorong ZHU
Peipei ZHANG
author_facet Xiaorong ZHU
Peipei ZHANG
author_sort Xiaorong ZHU
collection DOAJ
description Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.
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institution Kabale University
issn 1000-436X
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publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-8069a08dd1bc48ce8cfe1af084415fdd2025-01-14T07:19:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-08-014111011959736142Fault detection and diagnosis method for heterogeneous wireless network based on GANXiaorong ZHUPeipei ZHANGAiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020165/heterogeneous wireless networkGANXGBoostfault detectionfault diagnosis
spellingShingle Xiaorong ZHU
Peipei ZHANG
Fault detection and diagnosis method for heterogeneous wireless network based on GAN
Tongxin xuebao
heterogeneous wireless network
GAN
XGBoost
fault detection
fault diagnosis
title Fault detection and diagnosis method for heterogeneous wireless network based on GAN
title_full Fault detection and diagnosis method for heterogeneous wireless network based on GAN
title_fullStr Fault detection and diagnosis method for heterogeneous wireless network based on GAN
title_full_unstemmed Fault detection and diagnosis method for heterogeneous wireless network based on GAN
title_short Fault detection and diagnosis method for heterogeneous wireless network based on GAN
title_sort fault detection and diagnosis method for heterogeneous wireless network based on gan
topic heterogeneous wireless network
GAN
XGBoost
fault detection
fault diagnosis
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020165/
work_keys_str_mv AT xiaorongzhu faultdetectionanddiagnosismethodforheterogeneouswirelessnetworkbasedongan
AT peipeizhang faultdetectionanddiagnosismethodforheterogeneouswirelessnetworkbasedongan