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Author:

Gao, N. (Gao, N..) | Huo, R. (Huo, R..) | Wang, S. (Wang, S..) | Liu, J. (Liu, J..) | Huang, T. (Huang, T..) | Liu, Y. (Liu, Y..)

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Scopus SCIE

Abstract:

With the development and widespread use of blockchain in recent years, many projects have introduced blockchain technology to solve the growing security issues of the Industrial Internet of Things(IIoT). However, due to the conflict between the operational performance and security of the blockchain system and the compatibility issues with a large number of IIoT devices running together, the mainstream blockchain system cannot be applied to IIoT scenarios. In order to solve these problems, this paper proposes SBFT (Speculative Byzantine Consensus Protocol), a flexible and scalable blockchain consensus mechanism for the Industrial Internet of Things. SBFT has a consensus process based on speculation, improving the throughput and consensus speed of blockchain systems and reducing communication overhead. In order to improve the compatibility and scalability of the blockchain system, we select some nodes to participate in the consensus, and these nodes have better performance in the network. Since multiple properties determine node performance, we abstract the node selection problem as a joint optimization problem and use Dueling Deep Q Learning (DQL) to solve it. Finally, we evaluate the performance of the scheme through simulation, and the simulation results prove the superiority of our scheme.  © China Communications Magazine Co., Ltd. October 2023.

Keyword:

Byzantine fault tolerance deep reinforcement learning speculative consensus mechanism Industrial Internet of Things Markov decision process

Author Community:

  • [ 1 ] [Gao N.]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • [ 2 ] [Huo R.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Huo R.]Future Network Research Center, Purple Mountain Laboratories, Nanjing, 211111, China
  • [ 4 ] [Wang S.]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • [ 5 ] [Wang S.]Future Network Research Center, Purple Mountain Laboratories, Nanjing, 211111, China
  • [ 6 ] [Liu J.]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • [ 7 ] [Liu J.]Future Network Research Center, Purple Mountain Laboratories, Nanjing, 211111, China
  • [ 8 ] [Huang T.]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • [ 9 ] [Huang T.]Future Network Research Center, Purple Mountain Laboratories, Nanjing, 211111, China
  • [ 10 ] [Liu Y.]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • [ 11 ] [Liu Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 12 ] [Liu Y.]Future Network Research Center, Purple Mountain Laboratories, Nanjing, 211111, China

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Source :

China Communications

ISSN: 1673-5447

Year: 2023

Issue: 10

Volume: 20

Page: 185-199

4 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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