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
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Shan, S., Jia, Y., Zheng, X., & Xu, X. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.022 · Cited by 60
Survey of advances and challenges in intelligent autonomy for distributed cyber‐physical systems
McKee, D. W., Clement, S., Almutairi, J., & Xu, J. (2018) · CAAI Transactions on Intelligence Technology · doi:10.1049/trit.2018.0010 · Cited by 63
Fog Computing Approach for Mobility Support in Internet-of-Things Systems
Gia, T. N., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2018) · IEEE Access · doi:10.1109/access.2018.2848119 · Cited by 60
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Liang, X. (2018) · Library Hi Tech · doi:10.1108/lht-01-2018-0014 · Cited by 60
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Yu, W., Xu, H., Nguyen, J. H., Blasch, E., Hematian, A., & Gao, W. (2018) · IEEE Access · doi:10.1109/access.2018.2879760 · Cited by 60
A scalable and secure RFID mutual authentication protocol using ECC for Internet of Things
Naeem, M., Chaudhry, S. A., Mahmood, K., Karuppiah, M., & Kumari, S. (2019) · International Journal of Communication Systems · doi:10.1002/dac.3906 · Cited by 60
An Extensible and Effective Anonymous Batch Authentication Scheme for Smart Vehicular Networks
Zhang, J., Zhong, H., Cui, J., Xu, Y., & Liu, L. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2970092 · Cited by 60
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Wang, H., Yu, F. R., Li, M., & Zhong, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2975289 · Cited by 60
“With their low-power, low-cost, easy-deployment, and autonomous superiorities, IWSNs have arisen widespread interest in the industry recently [1], [2].”
BackgroundJiang, L., Chen, L., Giannetsos, T., Luo, B., Liang, K., & Han, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2936532 · Cited by 59
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Zunino, C., Valenzano, A., Obermaisser, R., & Petersen, S. (2020) · Computer Standards & Interfaces · doi:10.1016/j.csi.2020.103433 · Cited by 59
Gai, K., Qin, X., & Zhu, L. (2020) · IEEE Transactions on Computers · doi:10.1109/tc.2020.2993561 · Cited by 59
“In a cloud-IoT model, user-side devices are in a strong likelihood to play a role of service interface that receives and responds service operations; remote cloud servers are in charge of handling heavy workload behind the scene [5].”
BackgroundA New Method With Swapping of Peers and Fogs to Protect User Privacy in IoT Applications
Yamin, M., & Sen, A. A. A. (2020) · IEEE Access · doi:10.1109/access.2020.3038825 · Cited by 59
Circular Economy and Internet of Things: Mapping Science of Case Studies in Manufacturing Industry
Cavalieri, A., dos Reis, J. C. G., & Amorim, M. P. C. (2021) · Sustainability · doi:10.3390/su13063299 · Cited by 60
“There are several definitions and interpretations of CE in the literature, the same occurs with IoT [15,16].”
BackgroundZhang, P., Sun, H., Situ, J., Jiang, C., & Xie, D. (2021) · IEEE Access · doi:10.1109/access.2021.3095078 · Cited by 60
Fraga‐Lamas, P., Fernández‐Caramés, T. M., da Cruz, A. M. R., & Lopes, S. I. (2024) · IEEE Access · doi:10.1109/access.2024.3435374 · Cited by 65
3S-cart: A Lightweight, Interactive Sensor-Based Cart for Smart Shopping in Supermarkets
Wang, Y., & Yang, C.-C. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2586101 · Cited by 59
Cloud based SDN and NFV architectures for IoT infrastructure
Alenezi, M., Almustafa, K. M., & Meerja, K. A. (2018) · Egyptian Informatics Journal · doi:10.1016/j.eij.2018.03.004 · Cited by 59
Kang, S., Baek, H., Jung, E., Hwang, H. Y., & Yoo, S. (2019) · Applied Nursing Research · doi:10.1016/j.apnr.2019.03.005 · Cited by 59
Sivaparthipan, C. B., Muthu, B., Manogaran, G., Maram, B., Sundarasekar, R., Krishnamoorthy, S., Hsu, C., & Chandran, K. (2019) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3838 · Cited by 60
Attack and System Modeling Applied to IoT, Cloud, and Mobile Ecosystems
Sequeiros, J. B. F., Chimuco, F. T., Samaila, M. G., Freire, M. M., & Inácio, P. R. M. (2020) · ACM Computing Surveys · doi:10.1145/3376123 · Cited by 59
Discovering IoT implications in business and management: A computational thematic analysis
Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021) · Technovation · doi:10.1016/j.technovation.2021.102236 · Cited by 63
A Survey of Technologies for Unmanned Merchant Ships
Wang, J., Xiao, Y., Li, T., & Chen, C. L. P. (2020) · IEEE Access · doi:10.1109/access.2020.3044040 · Cited by 58
Designing and constructing internet-of-Things systems: An overview of the ecosystem
Dias, J. P., Restivo, A., & Ferreira, H. S. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100529 · Cited by 63
Godfrey, D. S., Suh, B., Lim, B. H., Lee, K.-C., & Kim, K. (2023) · Sensors · doi:10.3390/s23208435 · Cited by 58
“The IoT encompasses a wide range of devices, from every-day household objects to sophisticated industrial tools, that can exchange data with other devices and systems via the internet [10].”
BackgroundEnergy-Efficient Dynamic Packet Downloading for Medical IoT Platforms
Kim, J. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2434773 · Cited by 58
Predictive maintenance: strategic use of IT in manufacturing organizations
March, S. T., & Scudder, G. D. (2017) · Information Systems Frontiers · doi:10.1007/s10796-017-9749-z · Cited by 58
Vulnerability scanning of IoT devices in Jordan using Shodan
Al-Alami, H., Hadi, A., & Al-Bahadili, H. (2017) · International Conference & Exhibition on the Applications of Information Technology to Renewable Energy Processes and Systems (IT-DREPS) · doi:10.1109/it-dreps.2017.8277814 · Cited by 58
Gamification of the work floor: A literature review of gamifying production and logistics operations
Warmelink, H., Koivisto, J., Mayer, I. S., Vesa, M. J., & Hamari, J. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.139 · Cited by 58
Huda, S., Miah, S., Yearwood, J. L., Alyahya, S., Al-Dossari, H. Z., & Doss, R. (2018) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2018.04.005 · Cited by 58
Service-oriented platform for smart operation of dyeing and finishing industry
Park, K. T., Im, S. J., Kang, Y.-S., Noh, S. D., Kang, Y. T., & Yang, S. G. (2019) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2019.1572225 · Cited by 58
A Hybrid Method for Mobile Agent Moving Trajectory Scheduling using ACO and PSO in WSNs
Gao, Y. M., Wang, J., Wu, W., Sangaiah, A. K., & Lim, S. (2019) · Sensors · doi:10.3390/s19030575 · Cited by 58
Internet of things adoption: a typology of projects
Ancarani, A., Mauro, C. D., Legenvre, H., & Cardella, M. S. (2019) · International Journal of Operations & Production Management · doi:10.1108/ijopm-01-2019-0095 · Cited by 58
Discrimination-aware trust management for social internet of things
Jafarian, B., Yazdani, N., & Haghighi, M. S. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107254 · Cited by 58
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Khater, B. S., Wahab, A. W. A., Idris, M. Y. I., Hussain, M. A., Ibrahim, A. A., Amin, M. A., & Shehadeh, H. A. (2021) · Electronics · doi:10.3390/electronics10141633 · Cited by 63
“Some of the research in this context is associated with detecting anomalies in industrial data [53,54] and the industrial IoT [55,56].”
BackgroundAdriaensen, A., Decré, W., & Pintelon, L. M. (2019) · Safety · doi:10.3390/safety5040065 · Cited by 57
CAB-IoT: Continuous authentication architecture based on Blockchain for internet of things
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Kuswandi, B., Moradi, M., & Ezati, P. (2022) · Packaging Technology and Science · doi:10.1002/pts.2683 · Cited by 57
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BackgroundInfluentialFuture mining based on internet of things (IoT) and sustainability challenges
Pouresmaieli, M., Ataei, M., & Taran, A. (2022) · International Journal of Sustainable Development & World Ecology · doi:10.1080/13504509.2022.2137261 · Cited by 60
“In the studies carried out by Da, et al. and Qiuping, et al., IoT is introduced as a promising technology for mining safety as it can warn all workers before the occurrence of actual incidents (Qiuping et al. 2011; Da Xu et al. 2014).”
BackgroundA Hardware and Secure Pseudorandom Generator for Constrained Devices
Bakiri, M., Guyeux, C., Couchot, J.-F., Marangio, L., & Galatolo, S. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2815985 · Cited by 57
Analysis of identifiers in IoT platforms
Aftab, H., Gilani, K., Lee, J., Nkenyereye, L., Jeong, S., & Song, J. (2019) · Digital Communications and Networks · doi:10.1016/j.dcan.2019.05.003 · Cited by 57
“Since the emergence and rapid growth of the Internet of Things (IoT) [1,2], many global organizations have been providing specifications and guidelines for creating IoT applications.”
BackgroundA Central Intrusion Detection System for RPL-Based Industrial Internet of Things
Aydogan, E., Yılmaz, S., Şen, S., Bütün, İ., Forsström, S., & Gidlund, M. (2019) · IEEE International Workshop on Factory Communication Systems (WFCS) · doi:10.1109/wfcs.2019.8758024 · Cited by 57
Robust and Lightweight Key Exchange (LKE) Protocol for Industry 4.0
Gaba, G. S., Kumar, G., Monga, H., Kim, T.-H., Liyanage, M., & Kumar, P. (2020) · IEEE Access · doi:10.1109/access.2020.3010302 · Cited by 57
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Zeb, S., Abbas, Q., Hassan, S. A., Mahmood, A., Mumtaz, R., Zaidi, S. M. H., Zaidi, S. A. R., & Gidlund, M. (2019) · International Symposium on Wireless Communication Systems · doi:10.1109/iswcs.2019.8877102 · Cited by 56
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Orozco-Lugo, A. G., McLernon, D., Lara, M., Zaidi, S. A. R., González, B. J., Illescas, O., Pérez-Macías, C. I., Nájera-Bello, V., Balderas, J. A., Pizano-Escalante, J. L., et al. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100170 · Cited by 56
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Kumar, S., Kaiwartya, O., Rathee, M., Kumar, N., & Lloret, J. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.2975823 · Cited by 56
“S ENSOR-ENABLED technologies have been successfully leveraged for the military, industry, healthcare, and agriculture purposes [1].”
BackgroundIoMT-Based Smart Healthcare Detection System Driven by Quantum Blockchain and Quantum Neural Network
Qu, Z., Shi, W., Liu, B., Gupta, D., & Tiwari, P. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3288199 · Cited by 58
“I NTERNET of Things (IoT) is an intelligent computing technology that wirelessly connects various physical devices [1].”
BackgroundPrivacy-Preserving Federated Learning-Based Intrusion Detection Technique for Cyber-Physical Systems
Mahmud, S. A., Islam, N., Islam, M. Z., Rahman, Z., & Mehedi, S. T. (2024) · Mathematics · doi:10.3390/math12203194 · Cited by 56
Zambal, S., Eitzinger, C., Clarke, M., Klintworth, J., & Mechin, P.-Y. (2018) · 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2018.8472014 · Cited by 56
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González‐Manzano, L., Fuentes, J. M. D., & Ribagorda, A. (2019) · ACM Computing Surveys · doi:10.1145/3314023 · Cited by 59
Narwane, V. S., Raut, R. D., Mangla, S. K., Gardas, B. B., Narkhede, B. E., Awasthi, A., & Priyadarshinee, P. (2020) · Annals of Operations Research · doi:10.1007/s10479-019-03502-w · Cited by 56
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Kodheli, O., Andrenacci, S., Maturo, N., Chatzinotas, S., & Zimmer, F. (2019) · IEEE Access · doi:10.1109/access.2019.2918581 · Cited by 55
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Gallo, T., & Santolamazza, A. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.364 · Cited by 58
DHACS: Smart Contract-Based Decentralized Hybrid Access Control for Industrial Internet-of-Things
Saha, R., Kumar, G., Conti, M., Devgun, T., Kim, T.-H., Alazab, M., & Thomas, R. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3108676 · Cited by 55
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Badeel, R., Subramaniam, S. K., Hanapi, Z. M., & Muhammed, A. (2021) · Applied Sciences · doi:10.3390/app112311118 · Cited by 57
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Singh, G., Bhardwaj, G., Singh, S. V., & Chaudhary, N. (2022) · International Conference on Innovative Practices in Technology and Management (ICIPTM) · doi:10.1109/iciptm54933.2022.9753944 · Cited by 55
The Hitchhiker’s Guide to Fused Twins: A Review of Access to Digital Twins In Situ in Smart Cities
Grübel, J., Thrash, T., Aguilar, L., Gath-Morad, M., Chatain, J., Sumner, R. W., Hölscher, C., & Schinazi, V. R. (2022) · Remote Sensing · doi:10.3390/rs14133095 · Cited by 57
“Additional layers always focus on very specific features and mostly subdivide the Application layer for Service-oriented Architecture [154], Resourceoriented Architecture [162] business applications [155], or Context Awareness [156].”
BackgroundL2D2: A Novel LSTM Model for Multi-Class Intrusion Detection Systems in the Era of IoMT
Akar, G., Sahmoud, S., Onat, M., Çavuşoğlu, Ü., & Malondo, E. (2025) · IEEE Access · doi:10.1109/access.2025.3526883 · Cited by 63
Optimizing Sensor Network Coverage and Regional Connectivity in Industrial IoT Systems
Dou, R., & Nan, G. (2015) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2443045 · Cited by 55
SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways
Kaed, C. E., Khan, I., den Berg, A. V., Hossayni, H., & Saint-Marcel, C. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2769001 · Cited by 55
Device-Free People Counting in IoT Environments: New Insights, Results, and Open Challenges
Sobrón, I., Ser, J. D., Eizmendi, I., & Velez, M. M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2806990 · Cited by 55
Digital twins technolgy and its data fusion in iron and steel product life cycle
Xiang, F., Zhi, Z.-Y., & Jiang, G.-Z. (2018) · 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2018.8361293 · Cited by 27
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Shan, S., Wen, X., Wei, Y., Wang, Z., & Chen, Y. (2020) · Systems Research and Behavioral Science · doi:10.1002/sres.2709 · Cited by 55
Kobayashi, A., Konagaya, R., Tanaka, S., & Takashiri, M. (2020) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2020.112199 · Cited by 55
LEONORE -- Large-Scale Provisioning of Resource-Constrained IoT Deployments
Vögler, M., Schleicher, J. M., Inzinger, C., Nastić, S., Sehic, S., & Dustdar, S. (2015) · IEEE International Symposium on Service-Oriented System Engineering (SOSE) · doi:10.1109/sose.2015.23 · Cited by 54
Green IoT Systems: An Energy Efficient Perspective
Tahiliani, V., & Dizalwar, M. (2018) · International Conference on Contemporary Computing · doi:10.1109/ic3.2018.8530550 · Cited by 54
Performance Comparison of IoT Communication Protocols
de Moraes, T. M., Nogueira, B. C. E. S., Lira, V., & Tavares, E. (2019) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2019.8914552 · Cited by 54
Banijamali, A., Pakanen, O.-P., Kuvaja, P., & Oivo, M. (2020) · Information and Software Technology · doi:10.1016/j.infsof.2020.106271 · Cited by 52
“The authors explained that IoT requires enabling technologies for identification and tracking, communication, networks, and service management [26].”
BackgroundDeep-Reinforcement-Learning-Based Spectrum Resource Management for Industrial Internet of Things
Shi, Z., Xie, X., Lu, H., Yang, H., Kadoch, M., & Cheriet, M. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3022861 · Cited by 54
“In recent years, the increasing demand for industrial communication, along with the maturity of wireless telecommunication technology, has triggered the rapid development of the Industrial IoT (IIoT) [1], [2].”
BackgroundIoT Provisioning QoS based on Cloud and Fog Computing
Samann, F. E. F., Zeebaree, S. R. M., & Askar, S. K. (2021) · Journal of Applied Science and Technology Trends · doi:10.38094/jastt20190 · Cited by 54
“Sensing is the most crucial task in the IoT system [23].”
BackgroundKumar, A., Srivastava, S. K., & Singh, S. (2022) · Journal of Global Operations and Strategic Sourcing · doi:10.1108/jgoss-08-2021-0058 · Cited by 37
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Baniasadi, S., Rostami, O., Martín, D. R., & Kaveh, M. (2022) · Sensors · doi:10.3390/s22124459 · Cited by 54
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Duroc, Y. (2022) · Sensors · doi:10.3390/s22197523 · Cited by 71
Dense and long-term monitoring of earth surface processes with passive RFID — a review
Breton, M. L., Liébault, F., Baillet, L., Charléty, A., Larose, É., & Tedjini, S. (2022) · Earth-Science Reviews · doi:10.1016/j.earscirev.2022.104225 · Cited by 54
“Today, the implementation of ambitious concepts such as the Internet of things (Xu et al., 2014) is opening the technology to completely new applications (Duroc and Tedjini, 2018).”
BackgroundIoT applications and challenges in smart cities and services
Rafiq, I., Mahmood, A., Razzaq, S., Jafri, H., & Aziz, I. (2023) · The Journal of Engineering · doi:10.1049/tje2.12262 · Cited by 54
Introduction: Advances in IoT research and applications
Wang, P., Valerdi, R., Zhou, S., & Li, L. (2015) · Information Systems Frontiers · doi:10.1007/s10796-015-9549-2 · Cited by 54
Superframe Planning and Access Latency of Slotted MAC for Industrial WSN in IoT Environment
Yan, H., Zhang, Y., Pang, Z., & Xu, L. D. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306776 · Cited by 54
Zhai, C., Zou, Z., Chen, Q., Xu, L., Zheng, L., & Tenhunen, H. (2016) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2016.06.002 · Cited by 54
Energy and coverage study of LPWAN schemes for Industry 4.0
Hernández, D. M., Peralta, G., Manero, L., Gómez, R., Bilbao, J., & Zubia, C. (2017) · IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) · doi:10.1109/ecmsm.2017.7945893 · Cited by 54
Cloud-Orchestrated Physical Topology Discovery of Large-Scale IoT Systems Using UAVs
Yu, T., Wang, X., Jin, J., & McIsaac, K. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2796499 · Cited by 54
Using trust and local reputation for group formation in the Cloud of Things
Fortino, G., Messina, F., Rosaci, D., & Sarnè, G. M. L. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.021 · Cited by 54
Künzel, G., Indrusiak, L. S., & Pereira, C. E. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2941771 · Cited by 54
“0) concepts [1], [2].”
Abubakar, A. I., Omeke, K. G., Öztürk, M., Hussain, S., & Imran, M. A. (2020) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2020.575065 · Cited by 55
“…networks will be much higher due to: (i) the prevalence of IoT devices; (ii) more BS deployments with network densification; (iii) more data transmitted by users; etc. (Xu et al., 2014; Agiwal et al., 2016; Bera et al., 2017; Lee et al., 2017; Akpakwu et al., 2018; Morocho Cayamcela and Lim, 2018).”
BackgroundA Fast Image Retrieval Method Designed for Network Big Data
Yang, J., Jiang, B., Li, B., Tian, K., & Lv, Z. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2657545 · Cited by 53
Recognition of Daily Human Activity Using an Artificial Neural Network and Smartwatch
Kwon, M.-C., & Choi, S. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/2618045 · Cited by 53
Adamopoulos, P., Todri, V., & Ghose, A. (2020) · Information Systems Research · doi:10.1287/isre.2020.0962 · Cited by 51
Research on the maturity of big data management capability of intelligent manufacturing enterprise
Ge, J., Wang, F., Sun, H., Fu, L., & Sun, M. (2020) · Systems Research and Behavioral Science · doi:10.1002/sres.2707 · Cited by 53
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Yao, K., Chen, S., Lai, S. C., & Yousry, Y. M. (2021) · Advanced Science · doi:10.1002/advs.202103842 · Cited by 56
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Razmjoo, A., Gandomi, A. H., Mahlooji, M., Garcia, D. A., Mirjalili, S., Rezvani, A., Ahmadzadeh, S., & Memon, S. (2022) · Applied Sciences · doi:10.3390/app12052672 · Cited by 57
Al-Hawawreh, M. S., Alazab, M., Ferrag, M. A., & Hossain, M. S. (2023) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2023.103809 · Cited by 53
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Wang, F., Hu, L. Q., Zhou, J., & Zhao, K. (2015) · International Journal of Distributed Sensor Networks · doi:10.1155/2015/462752 · Cited by 53
Khaleel, H., Conzon, D., Kasinathan, P., Brizzi, P., Pastrone, C., Pramudianto, F., Eisenhauer, M., Cultrona, P., Rusiná, F., Lukáč, G., et al. (2015) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2469681 · Cited by 53
Guo, Z., Zhang, Y., Zhao, X., & Xiaoyu Song, B. (2017) · Applied Sciences · doi:10.3390/app7030235 · Cited by 53
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Clement, S., McKee, D. W., & Xu, J. (2017) · IEEE International Symposium on Service-Oriented System Engineering (SOSE) · doi:10.1109/sose.2017.29 · Cited by 54
Power Minimization Resource Allocation for Underlay MISO-NOMA SWIPT Systems
Mao, S., Leng, S., Hu, J., & Yang, K. (2019) · IEEE Access · doi:10.1109/access.2019.2892321 · Cited by 53
Liu, N., Chow, P., & Zhao, H. (2019) · Annals of Operations Research · doi:10.1007/s10479-019-03149-7 · Cited by 53
Security challenges in Internet of Vehicles (IoV) environment
Sharma, N., Chauhan, N., & Chand, N. (2018) · 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) · doi:10.1109/icsccc.2018.8703272 · Cited by 53
Ferrari, P., Rinaldi, S., Sisinni, E., Colombo, F., Ghelfi, F., Maffei, D., & Malara, M. (2019) · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroi4.2019.8792860 · Cited by 56
Hu, B., Guan, Z.-H., Xiong, N., & Chao, H.-C. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2808966 · Cited by 54
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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