Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things

被引:201
|
作者
Zhang, Ke [1 ]
Zhu, Yongxu [2 ]
Maharjan, Sabita [3 ,4 ]
Zhang, Yan [5 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Sichuan, Peoples R China
[2] Loughborough Univ, Wolfson Sch Mech Elect & Mfg Engn, Loughborough, Leics, England
[3] Simula Metropolitan Ctr Digital Engn, Oslo, Norway
[4] Univ Oslo, Oslo, Norway
[5] Univ Oslo, Dept Informat, Oslo, Norway
来源
IEEE NETWORK | 2019年 / 33卷 / 05期
基金
欧盟地平线“2020”;
关键词
Blockchain; 5G mobile communication; Artificial intelligence; Edge computing; Job shop scheduling; Internet of Things; Cloud computing; CLOUD;
D O I
10.1109/MNET.001.1800526
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Edge intelligence is a key enabler for IIoT as it offers smart cloud services in close proximity to the production environment with low latency and less cost. The need for ubiquitous communication, computing, and caching resources in 5G beyond will lead to a growing demand to integrate heterogeneous resources into the edge network. Furthermore, distributed edge services can make resource transactions vulnerable to malicious nodes. Ensuring secure edge services under complex industrial networks is a big challenge. In this article, we present an edge intelligence and blockchain empowered IIoT framework, which achieves flexible and secure edge service management. Then we propose a cross-domain sharing inspired edge resource scheduling scheme and design a credit-differentiated edge transaction approval mechanism. Numerical results indicate that the proposed schemes bring significant improvement in both edge service cost and service capacities.
引用
收藏
页码:12 / 19
页数:8
相关论文
共 50 条
  • [1] Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond
    Narayanan, Arun
    De Sena, Arthur Sousa
    Gutierrez-Rojas, Daniel
    Melgarejo, Dick Carrillo
    Hussain, Hafiz Majid
    Ullah, Mehar
    Bayhan, Suzan
    Nardelli, Pedro H. J.
    IEEE ACCESS, 2020, 8 : 206734 - 206754
  • [2] Federated Learning on 5G Edge for Industrial Internet of Things
    Liu, Xiaoli
    Su, Xiang
    del Campo, Guillermo
    Cao, Jacky
    Fan, Boyu
    Saavedra, Edgar
    Santamaria, Asuncion
    Roning, Juha
    Hui, Pan
    Tarkoma, Sasu
    IEEE NETWORK, 2025, 39 (01): : 289 - 297
  • [3] Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
    Liu, Yaqiong
    Peng, Mugen
    Shou, Guochu
    Chen, Yudong
    Chen, Siyu
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (08): : 6722 - 6747
  • [4] LEARNING-EMPOWERED PRIVACY PRESERVATION IN BEYOND 5G EDGE INTELLIGENCE NETWORKS
    Zhu, Pengcheng
    Xu, Jun
    Li, Jiamin
    Wang, Dongming
    You, Xiaohu
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (02) : 12 - 18
  • [5] Blockchain-Empowered Edge Intelligence for Internet of Medical Things against COVID-19
    Dai H.-N.
    Wu Y.
    Wang H.
    Imran M.
    Haider N.
    IEEE Internet of Things Magazine, 2021, 4 (02): : 34 - 39
  • [6] AI-Chain: Blockchain Energized Edge Intelligence for Beyond 5G Networks
    Qiu, Chao
    Yao, Haipeng
    Wang, Xiaofei
    Zhang, Ni
    Yu, F. Richard
    Niyato, Dusit
    IEEE NETWORK, 2020, 34 (06): : 62 - 69
  • [7] Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond
    Dai, Yueyue
    Xu, Du
    Maharjan, Sabita
    Chen, Zhuang
    He, Qian
    Zhang, Yan
    IEEE NETWORK, 2019, 33 (03): : 10 - 17
  • [8] Edge intelligence for the industrial internet of things
    Guo, Song
    Wang, Kun
    Pau, Giovanni
    Rayes, Ammar
    IEEE Network, 2019, 33 (05):
  • [9] Guest Editorial AI and 5G Empowered Internet of Medical Things
    Ahmed, Syed Hassan
    de Albuquerque, Victor Hugo
    Wei, Wei
    Wang, Wei
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (10) : 3688 - 3690
  • [10] The Digital Revolution: Internet of Things, 5G, and Beyond
    French, Aaron M.
    Shim, J. P.
    COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2016, 38 (38): : 840 - 850