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BrainIoT : Brain-Like Productive Services Provisioning with Federated Learning in Industrial IoT

Yang, Hui (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China
Yuan, Jiaqi (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China
Li, Chao (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Zhao, Guanliang (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Sun, Zhengjie (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Yao, Qiuyan (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Bao, Bowen (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Vasilakos, Athanasios (författare)
Luleå tekniska universitet,Datavetenskap,School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia; College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
Zhang, Jie (författare)
State Key Laboratory of information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
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 (creator_code:org_t)
IEEE, 2022
2022
Engelska.
Ingår i: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 9:3, s. 2014-2024
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The Industrial Internet of Things (IIoT) accommodates a huge number of heterogeneous devices to bring vast services under a distributed computing scenarios. Most productive services in IIoT are closely related to production control and require distributed network support with low delay. However, the resource reservation based on gross traffic prediction ignores the importance of productive services and treats them as ordinary services, so it is difficult to provide stable low delay support for large amounts of productive service requests. For many productions, unexpected communication delays are unacceptable, and the delay may lead to serious production accidents causing great losses, especially when the productive service is security related. In this article, we propose a brain-like productive service provisioning scheme with federated learning (BrainIoT) for IIoT. The BrainIoT scheme is composed of three algorithms, including industrial knowledge graph-based relation mining, federated learning-based service prediction, and globally optimized resource reservation. BrainIoT combines production information into network optimization, and utilizes the interfactory and intrafactory relations to enhance the accuracy of service prediction. The globally optimized resource reservation algorithm suitably reserves resources for predicted services considering various resources. The numerical results show that the BrainIoT scheme utilizes interfactory relation and intrafactory relation to make an accurate service prediction, which achieves 96% accuracy, and improves the quality of service.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Nyckelord

Artificial intelligence (AI)
brain
federated learning (FL)
Industrial Internet of Things (IIoT)
services provisioning
Pervasive Mobile Computing
Distribuerade datorsystem

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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