Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes processes and services, so as to reduce cost and...

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Vydané v:	IEEE Communications surveys and tutorials Ročník 22; číslo 4; s. 2462 - 2488
Hlavní autori:	Qiu, Tie, Chi, Jiancheng, Zhou, Xiaobo, Ning, Zhaolong, Atiquzzaman, Mohammed, Wu, Dapeng Oliver
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2020
Predmet:	advances and challenges application scenarios Cloud computing Computer architecture Delays Edge computing Industrial Internet of Things (IIoT) Internet of Things reference architecture Security
ISSN:	2373-745X
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Abstract	The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes processes and services, so as to reduce cost and enhance productivity. The introduction of edge computing in IIoT can significantly reduce the decision-making latency, save bandwidth resources, and to some extent, protect privacy. This paper outlines the research progress concerning edge computing in IIoT. First, the concepts of IIoT and edge computing are discussed, and subsequently, the research progress of edge computing is discussed and summarized in detail. Next, the future architecture from the perspective of edge computing in IIoT is proposed, and its technical progress in routing, task scheduling, data storage and analytics, security, and standardization is analyzed. Furthermore, we discuss the opportunities and challenges of edge computing in IIoT in terms of 5G-based edge communication, load balancing and data offloading, edge intelligence, as well as data sharing security. Finally, we introduce some typical application scenarios of edge computing in IIoT, such as prognostics and health management (PHM), smart grids, manufacturing coordination, intelligent connected vehicles (ICV), and smart logistics.
AbstractList	The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes processes and services, so as to reduce cost and enhance productivity. The introduction of edge computing in IIoT can significantly reduce the decision-making latency, save bandwidth resources, and to some extent, protect privacy. This paper outlines the research progress concerning edge computing in IIoT. First, the concepts of IIoT and edge computing are discussed, and subsequently, the research progress of edge computing is discussed and summarized in detail. Next, the future architecture from the perspective of edge computing in IIoT is proposed, and its technical progress in routing, task scheduling, data storage and analytics, security, and standardization is analyzed. Furthermore, we discuss the opportunities and challenges of edge computing in IIoT in terms of 5G-based edge communication, load balancing and data offloading, edge intelligence, as well as data sharing security. Finally, we introduce some typical application scenarios of edge computing in IIoT, such as prognostics and health management (PHM), smart grids, manufacturing coordination, intelligent connected vehicles (ICV), and smart logistics.
Author	Wu, Dapeng Oliver Zhou, Xiaobo Chi, Jiancheng Ning, Zhaolong Qiu, Tie Atiquzzaman, Mohammed
Author_xml	– sequence: 1 givenname: Tie orcidid: 0000-0003-2324-2523 surname: Qiu fullname: Qiu, Tie email: qiutie@ieee.org organization: School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China – sequence: 2 givenname: Jiancheng orcidid: 0000-0002-0359-5105 surname: Chi fullname: Chi, Jiancheng email: chijiancheng@tju.edu.cn organization: School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China – sequence: 3 givenname: Xiaobo orcidid: 0000-0002-7772-458X surname: Zhou fullname: Zhou, Xiaobo email: xiaobo.zhou@tju.edu.cn organization: School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China – sequence: 4 givenname: Zhaolong orcidid: 0000-0002-7870-5524 surname: Ning fullname: Ning, Zhaolong email: zhaolongning@dlut.edu.cn organization: School of Software, Dalian University of Technology, Dalian, China – sequence: 5 givenname: Mohammed orcidid: 0000-0001-9440-7669 surname: Atiquzzaman fullname: Atiquzzaman, Mohammed email: atiq@ou.edu organization: School of Computer Science, University of Oklahoma, Norman, OK, USA – sequence: 6 givenname: Dapeng Oliver orcidid: 0000-0003-1755-0183 surname: Wu fullname: Wu, Dapeng Oliver email: dpwu@ieee.org organization: Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA
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Snippet	The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment...
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SubjectTerms	advances and challenges application scenarios Cloud computing Computer architecture Delays Edge computing Industrial Internet of Things (IIoT) Internet of Things reference architecture Security
Title	Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges
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