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

被引:205
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
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