Design of a Smart Manufacturing System With the Application of Multi-Access Edge Computing and Blockchain Technology

被引:45
|
作者
Lee, C. K. M. [1 ]
Huo, Y. Z. [1 ]
Zhang, S. Z. [2 ]
Ng, K. K. H. [3 ,4 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China
[2] Zhejiang Univ Finance & Econ, Dept Informat Management & Engn, Hangzhou 310018, Peoples R China
[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
基金
中国国家自然科学基金; 国家教育部科学基金资助;
关键词
Blockchain technology; edge computing; smart manufacturing; swarm intelligence; INDUSTRIAL INTERNET; SWARM INTELLIGENCE; THINGS; IOT;
D O I
10.1109/ACCESS.2020.2972284
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart manufacturing is the core of the modern production and manufacturing industry as it moves towards digitalization. The successful implementation of smart manufacturing needs the support of information technology, data technology, and operational technology, among which edge computing, blockchain technology and artificial intelligence can play significant roles facilitating the development of smart manufacturing. In this research, a smart manufacturing system is proposed considering the integration of edge computing and blockchain technology. The introduction of edge computing can balance the computational workload and provide a more timely response for terminal devices. Blockchain technology can be utilized to promote both the device-level data transmission and the manufacturing service transaction. Moreover, regarding the computational task assignment in smart manufacturing systems, a mathematical model is proposed, and further solved using a swarm intelligence-based approach. Numerical experiments show that the introduction of the edge computing mechanism in smart manufacturing can significantly improve the processing time, especially with a large number of tasks.
引用
收藏
页码:28659 / 28667
页数:9
相关论文
共 50 条
  • [1] Blockchain-Based Service Migration for Multi-Access Edge Computing
    Ren, Shuyang
    Lee, Choonhwa
    2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN, 2023, : 51 - 55
  • [2] A Blockchain Framework for Secure Task Sharing in Multi-Access Edge Computing
    Rivera, Angelo Vera
    Refaey, Ahmed
    Hossain, Ekram
    IEEE NETWORK, 2021, 35 (03): : 176 - 183
  • [3] Modeling and performance analysis of smart map application in the Multi-access Edge Computing paradigm
    Shojaee, Reza
    Yazdani, Nasser
    PERVASIVE AND MOBILE COMPUTING, 2020, 69
  • [4] Integration of Communication and Computing in Blockchain-Enabled Multi-Access Edge Computing Systems
    Zhonghua Zhang
    Jie Feng
    Qingqi Pei
    Le Wang
    Lichuan Ma
    China Communications, 2021, 18 (12) : 297 - 314
  • [5] Integration of Communication and Computing in Blockchain-Enabled Multi-Access Edge Computing Systems
    Zhang, Zhonghua
    Feng, Jie
    Pei, Qingqi
    Wang, Le
    Ma, Lichuan
    CHINA COMMUNICATIONS, 2021, 18 (12) : 297 - 314
  • [6] CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain
    Yuan, Liang
    He, Qiang
    Chen, Feifei
    Zhang, Jun
    Qi, Lianyong
    Xu, Xiaolong
    Xiang, Yang
    Yang, Yun
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 33 (08) : 1873 - 1887
  • [7] Multi-access Edge Computing: A 5G Technology
    Parada, Carlos
    Fontes, Francisco
    Marques, Carlos
    Cunha, Vitor
    Leitao, Cristina
    2018 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2018, : 277 - 281
  • [8] Multi-access Edge Computing as a Service
    Escaleira, Pedro
    Mota, Miguel
    Gomes, Diogo
    Barraca, Joao P.
    Aguiar, Rui L.
    2022 18TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM 2022): INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES, 2022, : 177 - 183
  • [9] Multi-Access Edge Computing: A Survey
    Filali, Abderrahime
    Abouaomar, Amine
    Cherkaoui, Soumaya
    Kobbane, Abdellatif
    Guizani, Mohsen
    IEEE ACCESS, 2020, 8 : 197017 - 197046
  • [10] Optimal Computational Power Allocation in Multi-Access Mobile Edge Computing for Blockchain
    Wu, Yuan
    Chen, Xiangxu
    Shi, Jiajun
    Ni, Kejie
    Qian, Liping
    Huang, Liang
    Zhang, Kuan
    SENSORS, 2018, 18 (10)