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Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs

文献类型：期刊论文

作者Wang, Zhaoyang3; Wang, Song2; Zhao, Zhiyao3; Sun, Muyi1
刊名IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
出版日期2023
卷号19期号:1页码:1069-1079
关键词Location awareness Industrial Internet of Things Collaboration Security Cloud computing Encryption Privacy Collaborative Cloud-Edge-End expectation maximization (EM) federated control industrial Internet of Things (IIoT) trustworthy localization
ISSN号1551-3203
DOI10.1109/TII.2022.3178406
通讯作者Sun, Muyi(muyi.sun@cripac.ia.ac.cn)
英文摘要Industrial Internet of Things (IIoTs) are significantly changing informative and manufacturing pattern in smart factories while it also brings security and trustworthiness issue. Concerning about trustworthiness issues and private preservation of tracking systems, a hierarchical framework with federated control theory is designed, which consists of a federated control center, network layer, and a federated control node. The framework combines a collaborative Cloud-Edge-End structure and machine learning-oriented localization, which further forms the EM-based federated scheme. On this basis, a trustworthy localization model is built with the untrustworthiness probability as a latent variable. By exploring expectation maximization (EM) of trustworthy localization, the local messages and aggression equations are derived in an iterative way of federated learning. The EM-based federated control scheme with machine learning-oriented localization is finally given. Experiments have been conducted to prove the localization accuracy and convergence of the proposed method with trustworthiness issue. The results show that trustworthy localization outperforms traditional methods without considering the security threats.
WOS关键词NETWORK LOCALIZATION ; ALGORITHMS ; SYSTEM
资助项目Cross-Discipline Subject Project within Science and Technology Nova Plan of Beijing City[Z211100002121166] ; Youth Scholars of Beijing Technology and Business University[QNJJ2021-33] ; Beijing Excellent Talent Training Support Project for Young Top-Notch Team[2018000026833TD01]
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering
语种英语
WOS记录号WOS:000880654600110
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Cross-Discipline Subject Project within Science and Technology Nova Plan of Beijing City ; Youth Scholars of Beijing Technology and Business University ; Beijing Excellent Talent Training Support Project for Young Top-Notch Team
源URL[http://ir.ia.ac.cn/handle/173211/51245]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Sun, Muyi
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100045, Peoples R China
2.Beijing Univ Posts & Telecommun, Sch Modern Post, Sch Automat, Beijing 100876, Peoples R China
3.Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Zhaoyang,Wang, Song,Zhao, Zhiyao,et al. Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2023,19(1):1069-1079.
APA Wang, Zhaoyang,Wang, Song,Zhao, Zhiyao,&Sun, Muyi.(2023).Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,19(1),1069-1079.
MLA Wang, Zhaoyang,et al."Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 19.1(2023):1069-1079.

入库方式： OAI收割

来源：自动化研究所

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