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Author:

Lin, Yijing (Lin, Yijing.) | Gao, Zhipeng (Gao, Zhipeng.) | Shi, Weisong (Shi, Weisong.) | Wang, Qian (Wang, Qian.) | Li, Huangqi (Li, Huangqi.) | Wang, Miaomiao (Wang, Miaomiao.) | Yang, Yang (Yang, Yang.) | Rui, Lanlan (Rui, Lanlan.)

Indexed by:

EI Scopus SCIE

Abstract:

The rapid development of digital technology is reshaping the architecture of the Industrial Internet of Things (IIoT). The traditional architecture cannot process vast amounts of data exchanges and provide entities with trust. The future IIoT is expected to be a decentralized architecture in which blockchain and digital twin-driven IIoT can enable trusted data exchanges. However, this architecture cannot obtain huge amounts of external real-time data and isolated data. Moreover, it cannot handle complex industrial computing tasks. Therefore, we combine oracle with decentralized learning to propose a novel IIoT-oriented digital twin architecture. We also propose an effective decentralized collaboration mechanism to support external data and resources exchanges. Moreover, we propose a novel computing collaboration mechanism to expand the learning capabilities of the industrial ecology. Experiments show that our proposed paradigm has less processing time, a more stable process, and better learning ability compared to other paradigms.

Keyword:

Blockchain Industrial Internet of Things (IIoT) oracle digital twin

Author Community:

  • [ 1 ] [Lin, Yijing]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 2 ] [Gao, Zhipeng]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 3 ] [Li, Huangqi]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 4 ] [Wang, Miaomiao]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 5 ] [Yang, Yang]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 6 ] [Rui, Lanlan]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 7 ] [Shi, Weisong]Wayne State Univ, Coll Engn, Detroit, MI 48202 USA
  • [ 8 ] [Wang, Qian]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2023

Issue: 5

Volume: 10

Page: 3774-3785

1 0 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 41

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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