4.7 Article

A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

Journal

IEEE NETWORK
Volume 34, Issue 5, Pages 78-83

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.011.1900536

Keywords

Blockchain; Scalability; Security; Delays; Optimization

Funding

  1. National Natural Science Foundation of China (NSFC) [61976242, 61902203]
  2. Guangdong Province Key Laboratory of Computational Science at the Sun Yat-sen University [2018002]
  3. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education [IPIU-2019003]
  4. Key Research and Development Plan-Major Scientific and Technological Innovation Projects of ShanDong Province [2019JZZY020101]

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The Industrial Internet of Things (IIoT) has developed rapidly in recent years. Private blockchains with decentralization, flexible rules, and good privacy protection can be applied in the IIoT to process the massive data and tackle the security problem. However, the scalability of blockchain places a restriction on IIoT. Accordingly, this article proposes an improved algorithm based on Two_Arch2 to improve the scalability and decentralization while reducing the latency and cost of the blockchain. By integrating the private blockchain theory to IIoT and simultaneously considering the above four objectives, a many-objective blockchain-enabled IIoT model is constructed. Then an improved Two_Arch2 algorithm is utilized to solve the model. Experimental results show that the improved algorithm can effectively optimize four indicators of the model.

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