Cited by 5,172Digital Transformation in IndustryIoT and Edge/Fog ComputingInternet of Things and AI

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Internet of Things in Industries: A Survey

Xu, Li Da, He, Wu, Li, Shancang·2014·IEEE Transactions on Industrial Informatics

DOI 10.1109/tii.2014.2300753

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Abstract

Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enabling technologies, major IoT applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art IoT in industries systematically.

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“W ITH the rapid development of the cloud computing, next-generation mobile communications (5G and beyond) [1], Internet of Things (IoT) system is deemed to be capable of supporting computation-intensive services in recent years [2], [3], [4].”
Background
TL-BILSTM IoT: transfer learning model for prediction of intrusion detection system in IoT environment
Nandanwar, H., & Katarya, R. (2023) · International Journal of Information Security · doi:10.1007/s10207-023-00787-8 · Cited by 98
“The Industrial Internet of Things (IIoT) has garnered tremendous interest from various sectors due to its potential for empowering different areas such as manufacturing, health care, and smart cities [7].”
Survey and systematic mapping of industrial Wireless Sensor Networks
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Towards minimum-delay and energy-efficient flooding in low-duty-cycle wireless sensor networks
Cheng, L., Niu, J., Luo, C., Shu, L., Kong, L., Zhao, Z., & Gu, Y. J. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.01.012 · Cited by 97
Ontologies for Industry 4.0
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Blockchain and Fog Computing for Cyberphysical Systems: The Case of Smart Industry
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“The autonomic cycles allow our proposal to increase the autonomy of the manufacturing process, which is an essential feature in the Industry 4.0 context (Bahrin et al., 2016; Lu, 2017a; Qin et al., 2016; Xu et al., 2014).”
BackgroundInfluential
Highly Efficient Omnidirectional Integrated Multiband Wireless Energy Harvesters for Compact Sensor Nodes of Internet-of-Things
Song, C., Lu, P., & Shen, S. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.3009586 · Cited by 97
An Integrated Framework for Health State Monitoring in a Smart Factory Employing IoT and Big Data Techniques
Yu, W., Liu, Y., Dillon, T. S., Rahayu, W. J., & Mostafa, F. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3096637 · Cited by 97
Mitigating information asymmetry in inventory pledge financing through the Internet of things and blockchain
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Background
Performance Analysis of Neighbor Discovery Process in Bluetooth Low-Energy Networks
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Overview of Spintronic Sensors With Internet of Things for Smart Living
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V2X offloading and resource allocation in SDN-assisted MEC-based vehicular networks
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“With the rapid development of wireless communication technology, the networked vehicles can form the IEEE 802.11p-based Vehicular Ad-hoc Networks (VANETs) by the vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication mode [1].”
Background
Log-flock: A blockchain-enabled platform for digital asset valuation and risk assessment in E-commerce logistics financing
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State-of-the-art survey of artificial intelligent techniques for IoT security
Ahanger, T. A., Aljumah, A. A., & Atiquzzaman, M. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.108771 · Cited by 101
Industrial Internet of Things: A Review
Karmakar, A., Dey, N., Baral, T., Chowdhury, M., & Rehan, M. (2019) · 2019 International Conference on Opto-Electronics and Applied Optics (Optronix) · doi:10.1109/optronix.2019.8862436 · Cited by 100
Collaborative service-component integration in cloud manufacturing
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SDN-Enabled Secure IoT Architecture
Karmakar, K. K., Varadharajan, V., Nepal‬, ‪., & Tupakula, U. K. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3043740 · Cited by 100
“An IoT infrastructure can be thought of as consisting of four architecture layers, namely, perception, network, middleware, and application layers [12].”
Background

Authors: Xu, L. D., He, W., & Li, S.
Affiliations: Chinese Academy of Sciences (CN)
Old Dominion University (US)
University of Bristol (GB)
ORCID: Xu, Li Da
He, Wu
Li, Shancang
Venue: IEEE Transactions on Industrial Informatics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2014-11
Volume: 10
Issue: 4
Pages: 2233-2243
ISSN: 1551-3203 (ISSN-L)
1941-0050
DOI: 10.1109/tii.2014.2300753
OpenAlex: W2038194220
Cited by: 5,172
References: 83
Citations by year: 2026: 239 · 2025: 275 · 2024: 347 · 2023: 405 · 2022: 490 · 2021: 626 · 2020: 693 · 2019: 674 · 2018: 632 · 2017: 429 · 2016: 234 · 2015: 105 · 2014: 22
FWCI: 494.31
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Industrial Informatics (publishedVersion)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords: Internet of Things, Industrial Internet of Things, RFID, wireless sensor networks, mobile devices, enabling technologies, industrial applications, research trends, research challenges

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Internet of Things in Industries: A Survey

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