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

By Tie Qiu, J. Chi, Xiaobo Zhou, Zhaolong Ning, Mohammed Atiquzzaman, Dapeng Oliver Wu. IEEE Communications Surveys and Tutorials, 2020

685 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/6058eb8a9282592eb8322e81cddaa1e379bb347e

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Citations in the corpus

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, methodology): “Speciﬁcally, edge computing provides a general platform for inferring DNN models via computation ofﬂoading to reduce network latency and operation cost in IIoT [119].”
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, background): “The concept of Industrial IoT (IIoT) is introduced in [82], in which the authors”
Federated Learning for Internet of Things: A Comprehensive Survey (2021, background): “In recent years, industrial edge computing has been applied widely in IoT networks due to its capability to provide instant computation and storage services [173].”
Enabling Massive IoT Toward 6G: A Comprehensive Survey (2021, background): “Second, the caching power of edge computing could help further relieve the heavy burden caused by massive data uploaded to cloud [72].”
Survey on Network Slicing for Internet of Things Realization in 5G Networks (2021, background): “Fourth industrial revolution (Industry 4.0) [114], the novel enhancement in the industrial automation systems, introduces modern communication and computation technologies such as cloud computing and IoT to industrial manufacturing systems [115].”