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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The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
The vision of autonomic computing
Kephart, J. O., & Chess, D. M. (2003) · Computer · doi:10.1109/mc.2003.1160055 · Cited by 6,572
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., Pellegrini, F. D., & Imrich Chlamtac, A. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,629
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
“The data may not have much meaningful value unless people find an effective way to analyze and understand it [62].”
Background
Internet of Things: Applications and Challenges in Technology and Standardization
Bandyopadhyay, D., & Sen, J. (2011) · Wireless Personal Communications · doi:10.1007/s11277-011-0288-5 · Cited by 1,603
Smart objects as building blocks for the Internet of things
Kortuem, G., Kawsar, F., Sundramoorthy, V., & Fitton, D. (2009) · IEEE Internet Computing · doi:10.1109/mic.2009.143 · Cited by 1,477
Wireless sensor networks for healthcare: A survey
Alemdar, H., & Ersoy, C. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.003 · Cited by 1,427
The Social Internet of Things (SIoT)—When social networks meet the Internet of Things: Concept, architecture and network characterization
Atzori, L., Iera, A., Morabito, G., & Nitti, M. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.07.010 · Cited by 1,238 · cited 1×
“In the end, a " Process Evaluation " is used to evaluate the process [41], [42] The identification and tracking technologies involved in IoT include RFID systems, barcode, and intelligent sensors.”
Method
Internet of Things Strategic Research Roadmap
Vermesan, O., Friess, P., Guillemin, P., Gusmeroli, S., Sundmaeker, H., Bassi, A., Jubert, I. S., Mazura, M., Harrison, M. G., Eisenhauer, M., et al. (2022) · River Publishers eBooks · doi:10.1201/9781003338604-2 · Cited by 1,002

Show all 83 references

Research works printed but not linked: 6

ashton, 2009, Internet of things, RFID J
sundmaeker, 2010, Vision and Challenges for Realizing the Internet of Things
voigt, 2012, China Looks to Lead the Internet of Things
2010, Requirements for Support of USN Applications and Services in NGN Environment
van kranenburg, 2011, The internet of things, 1st Berlin Symposium on Internet and Society, 25
cervantes, 2003, Automating service dependency management in a service-oriented component model, Workshop on Component-based Software Engineering Proceedings, 1

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Background
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BackgroundInfluential
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Background
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Analytics for the Internet of Things
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Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges
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The effect of “Internet of Things” on supply chain integration and performance: An organisational capability perspective
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Security in IoMT Communications: A Survey
Koutras, D., Stergiopoulos, G., Dasaklis, T. K., Kotzanikolaou, P., Glynos, D., & Douligeris, C. (2020) · Sensors · doi:10.3390/s20174828 · Cited by 205
“This is true for all the IoT networks, not only those implemented for the medical sector [207].”
Background
Time-series anomaly detection with stacked Transformer representations and 1D convolutional network
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Routing and Scheduling of Time-Triggered Traffic in Time-Sensitive Networks
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“T HE DEPLOYMENT of cyber-physical systems (CPS) as a replacement for the typical mechanical components is increasing in the industrial automation systems [1].”
Background
Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0
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Analysis of factors affecting IoT-based smart hospital design
Uslu, B. Ç., Okay, E., & Dursun, E. (2020) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-020-00215-5 · Cited by 199
“…for the health sector [46], healthcare frameworks [47–50], smart healthcare service management [51, 52], ubiquitous and quick access to personal health [53], equipment localization [14, 54], hospitalized patients and controlled drug consumption [55, 56], and false alarm detection architecture [57].”
BackgroundMethod
Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency
Al–Rubaye, S., Hamza, E. K., Ni, Q., & Anpalagan, A. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2734903 · Cited by 183
Security and privacy issues in smart cities/industries: technologies, applications, and challenges
Rao, P. M., & Deebak, B. D. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-03707-1 · Cited by 194
Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things
Li, M., Hu, D., Lal, C., Conti, M., & Zhang, Z. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2974537 · Cited by 183
Evolution of IoT-enabled connectivity and applications in automotive industry: A review
Rahim, M. A., Rahman, M. M., Rahman, M. M., Asyhari, A. T., Bhuiyan, M. Z. A., & Ramasamy, D. (2020) · Vehicular Communications · doi:10.1016/j.vehcom.2020.100285 · Cited by 181
The architectural framework of a cyber physical logistics system for digital-twin-based supply chain control
Park, K. T., Son, Y. H., & Noh, S. D. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1788738 · Cited by 186
“The application of these reference models depends on the descriptions, business requirements, and technical requirements of the target technologies (Xu, He, and Li 2014; da Cruz et al. 2018; Park et al. 2019a).”
Method
Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products
Tao, F., Zuo, Y. N., Xu, L. D., Lv, L., & Li, Z. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306771 · Cited by 179
The Internet of Things: Insights into the building blocks, component interactions, and architecture layers
Kumar, N. M., & Mallick, P. K. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.05.170 · Cited by 179
An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry
Singh, R., & Bhanot, N. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1675915 · Cited by 179
Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access
Song, H., Bai, J., Yi, Y., Wu, J., & Liu, L. (2020) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2019.2954643 · Cited by 179
An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia
Hopkins, J. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103323 · Cited by 193
Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments
Kabalcı, Y., Kabalcı, E., Padmanaban, S., Holm‐Nielsen, J. B., & Blaabjerg, F. (2019) · Electronics · doi:10.3390/electronics8090972 · Cited by 178
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning Based Approach
Mehedi, S. T., Anwar, A., Rahman, Z., Ahmed, K., & Islam, R. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3164770 · Cited by 204
“However, traditional security mechanisms require high computational capabilities [2].”
BackgroundMethodInfluential
Impact of payment technology innovations on the traditional financial industry: A focus on China
Yao, M., Di, H., Zheng, X., & Xu, X. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.023 · Cited by 177
Blockchain and Internet of Things for Modern Business Process in Digital Economy—the State of the Art
Viriyasitavat, W., Xu, L. D., Bi, Z., & Pungpapong, V. (2019) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2919325 · Cited by 177
Design and management of digital manufacturing and assembly systems in the Industry 4.0 era
Cohen, Y., Faccio, M., Pilati, F., & Yao, X. (2019) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-04595-0 · Cited by 177
The design of an m-Health monitoring system based on a cloud computing platform
Xu, B., Xu, L., Cai, H., Jiang, L., Luo, Y., & Gu, Y. (2015) · Enterprise Information Systems · doi:10.1080/17517575.2015.1053416 · Cited by 176
Field-synchronized Digital Twin framework for production scheduling with uncertainty
Negri, E., Pandhare, V., Cattaneo, L., Singh, J., Macchi, M., & Lee, J. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-020-01685-9 · Cited by 150
A study to determine the effects of industry 4.0 technology components on organizational performance
DUMAN, M. Ç., & Akdemir, B. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120615 · Cited by 176

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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