The DOI matches its Crossref record; 81 of the 83 references it cites were found in a registry or an index.
Internet of Things in Industries: A Survey
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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“Despite the mentioned differences, Industry 4.0 technologies can benefit from the use of blockchain to tackle the four main challenges they face during their deployment [54]:”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [54]
Citations
Cites
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].”
BackgroundInternet 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
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.”
MethodInternet 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
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
Cited by
Sorted by citations
Industry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,405
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Zhong, R. Y., Xu, X. W., Klotz, E., & Newman, S. T. (2017) · Engineering · doi:10.1016/j.eng.2017.05.015 · Cited by 3,045
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
Algorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732
Metadata
- Authors
- Xu, L. D., He, W., & Li, S.
- Affiliations
- Chinese Academy of Sciences (CN)
- Old Dominion University (US)
- University of Bristol (GB)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2014-11
- Volume
- 10
- Issue
- 4
- Pages
- 2233-2243
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- 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
- 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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