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

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

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

DOI 10.1109/tii.2014.2300753

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1109/tii.2014.2300753

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Sorted by citations

Items 301–400 of 1,013

Multisignal Modulation Classification Using Sliding Window Detection and Complex Convolutional Network in Frequency Domain
Hou, C., Liu, G., Tian, Q., Zhou, Z., Hua, L., & Lin, Y. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3167107 · Cited by 176
Access control in Internet-of-Things: A survey
Ravidas, S., Lekidis, A., Paci, F., & Zannone, N. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.06.017 · Cited by 175
IoT-Based Configurable Information Service Platform for Product Lifecycle Management
Cai, H., Xu, L. D., Xu, B., Xie, C., Qin, S., & Jiang, L. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306391 · Cited by 175
Uplink Scheduling and Link Adaptation for Narrowband Internet of Things Systems
Yu, C., Yu, L. J., Wu, Y., He, Y., & Lu, Q. (2017) · IEEE Access · doi:10.1109/access.2017.2664418 · Cited by 175
A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
Bhatti, F., Shah, M. A., Maple, C. R., & Islam, S. U. (2019) · Sensors · doi:10.3390/s19092071 · Cited by 175
Digital twin-based cyber physical production system architectural framework for personalized production
Park, K. T., Lee, J.-H., Kim, H.-J., & Noh, S. D. (2019) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-04653-7 · Cited by 178
A Blockchain-Based Multi-Cloud Storage Data Auditing Scheme to Locate Faults
Zhang, C., Xu, Y., Hu, Y., Wu, J., Ren, J., & Zhang, Y. (2021) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2021.3057771 · Cited by 175
“I N THE past few years, network computing technologies such as cloud computing [1] and transparent computing [2] have brought convenience to countless users with their powerful storage and processing capabilities [3].”
Background
Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19
Cui, L., Wu, H., Wu, L., Kumar, A., & Tan, K. H. (2022) · Annals of Operations Research · doi:10.1007/s10479-022-04735-y · Cited by 200
“Among these technologies, the IoT is an intuitive, robust and scalable tool that can capture a large amount of data through its four essential layers: networking layer, sensing layer, interface layer and service layer (Xu et al., 2014; Birkel & Hartmann, 2020).”
Background
IoT Adoption and Application for Smart Healthcare: A Systematic Review
Al-Rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., & Zwiri, A. M. A. (2022) · Sensors · doi:10.3390/s22145377 · Cited by 203
“The development of healthcare systems requires a concerted effort to seamlessly integrate with the Internet of Things (IoT), especially for ameliorating day-to-day challenges arising in the sector.”
Background
KEIDS: Kubernetes-Based Energy and Interference Driven Scheduler for Industrial IoT in Edge-Cloud Ecosystem
Kaur, K., Garg, S., Kaddoum, G., Ahmed, S. H., & Atiquzzaman, M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2939534 · Cited by 172
“It can improve the connectivity, efﬁciency, and scalability by integrating physical objects, cyber objects, and social objects in the industry [1].”
Background
Device characteristics and material developments of indoor photovoltaic devices
Venkateswararao, A., Ho, J. K. W., So, S. K., Liu, S., & Wong, K. (2019) · Materials Science and Engineering R Reports · doi:10.1016/j.mser.2019.100517 · Cited by 171
A Review on Human-Centered IoT-Connected Smart Labels for the Industry 4.0
Fernández‐Caramés, T. M., & Fraga‐Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2833501 · Cited by 184
Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review
Vrchota, J., Pech, M., Rolínek, L., & Bednář, J. (2020) · Sustainability · doi:10.3390/su12155968 · Cited by 180
“In both cases, there is a saving of funds, so the prevention of waste is both ecologically and financially effective [83].”
Background
A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things
Pourghebleh, B., & Hayyolalam, V. (2019) · Cluster Computing · doi:10.1007/s10586-019-02950-0 · Cited by 167
A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences
Guth, J., Breitenbücher, U., Falkenthal, M., Fremantle, P., Kopp, O., Leymann, F., & Reinfurt, L. (2017) · Internet of things · doi:10.1007/978-981-10-5861-5_4 · Cited by 166
Radio Frequency Identification and Sensing Techniques and Their Applications—A Review of the State-of-the-Art
Cui, L., Zhang, Z., Gao, N., Meng, Z., & Li, Z. (2019) · Sensors · doi:10.3390/s19184012 · Cited by 166
Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions
Gaddam, A., Wilkin, T., Angelova, M. N., & Gaddam, J. (2020) · Electronics · doi:10.3390/electronics9030511 · Cited by 166
Security and Privacy in the Industrial Internet of Things: Current Standards and Future Challenges
Gebremichael, T., Ledwaba, L. P. I., Eldefrawy, M. H., Hancke, G. P., Pereira, N., Gidlund, M., & Åkerberg, J. (2020) · IEEE Access · doi:10.1109/access.2020.3016937 · Cited by 166
“that potentially exacerbate the problem include managing mobility of devices and subsequent name or address changes, identity theft and having scalable device discovery mechanism [65].”
Background
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Wani, N. A., Kumar, R., Mamta, ., Bedi, J., & Rida, I. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102472 · Cited by 172
Development capabilities for smart products
Tomiyama, T., Lutters, E., Stark, R., & Abramovici, M. (2019) · CIRP Annals · doi:10.1016/j.cirp.2019.05.010 · Cited by 179
Sustainable and smart metal forming manufacturing process
Awasthi, A., Saxena, K. K., & Arun, V. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2020.12.177 · Cited by 165
IoT Software Infrastructure for Energy Management and Simulation in Smart Cities
Brundu, F. G., Patti, E., Osello, A., Giudice, M. D., Rapetti, N., Krylovskiy, A., Jahn, M., Verda, V., Guelpa, E., Rietto, L., et al. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2627479 · Cited by 164
A Survey of Cyber-Physical Advances and Challenges of Wind Energy Conversion Systems: Prospects for Internet of Energy
Moness, M., & Moustafa, A. M. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2478381 · Cited by 163
Applicability of Big Data Techniques to Smart Cities Deployments
Moreno, M. V., Terroso-Sáenz, F., González-Vidal, A., Valdés-Vela, M., Skármeta, A., Zamora, M. Á., & Chang, V. I. C. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2605581 · Cited by 163
Gamification of production and logistics operations: Status quo and future directions
Warmelink, H., Koivisto, J., Mayer, I. S., Vesa, M. J., & Hamari, J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.09.011 · Cited by 190
Enablers to supply chain performance on the basis of digitization technologies
Gupta, H., Kumar, S., Kusi-Sarpong, S., Jabbour, C., & Agyemang, M. (2020) · Industrial management & data systems · doi:10.1108/imds-07-2020-0421 · Cited by 116
Smart and cognitive solutions for Operator 4.0: Laboratory H-CPPS case studies
Zolotová, I., Papcun, P., Kajáti, E., Miškuf, M., & Mocnej, J. (2018) · Computers & Industrial Engineering · doi:10.1016/j.cie.2018.10.032 · Cited by 162
Transformer-based multivariate time series anomaly detection using inter-variable attention mechanism
Kang, H., & Kang, P. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111507 · Cited by 188
Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (AI)-enabled malware and intrusion detection
Schmitt, M. (2023) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2023.100520 · Cited by 220
Deep learning for signal authentication and security in massive internet-of-things systems
Ferdowsi, A., & Saad, W. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2878025 · Cited by 160
Blockchain and Random Subspace Learning-Based IDS for SDN-Enabled Industrial IoT Security
Derhab, A., Guerroumi, M., Gumaei, A., Maglaras, L. A., Ferrag, M. A., Mukherjee, M., & Khan, F. A. (2019) · Sensors · doi:10.3390/s19143119 · Cited by 160
A review of logistics Internet-of-Things: Current trends and scope for future research
Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2020) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2020.100194 · Cited by 172
The Internet of Things (IoT) and its Application Domains
Perwej, Y., Haq, K., Parwej, F., & Mumdouh, M. (2019) · International Journal of Computer Applications · doi:10.5120/ijca2019918763 · Cited by 158
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Chen, Z., Liu, J., Shen, Y., Şimşek, M., Kantarcı, B., Mouftah, H. T., & Djukic, P. (2022) · ACM Computing Surveys · doi:10.1145/3530812 · Cited by 186
“The acceptance and ubiquity of new IoT technologies and services largely depend on the status of data security and privacy protection, which are two challenging issues for IoT because of its deployment, mobility, and complexity [43].”
Background
Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II
Cai, X., Wang, P., Du, L., Cui, Z., Zhang, W., & Chen, J. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2927733 · Cited by 157
Security and privacy of UAV data using blockchain technology
Rupa, C., Srivastava, G., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2020) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102670 · Cited by 158
MongoDB-Based Repository Design for IoT-Generated RFID/Sensor Big Data
Kang, Y.-S., Park, I.-H., Rhee, J., & Lee, Y.-H. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2483499 · Cited by 156
Impact of IoT challenges and risks for SCM
Birkel, H. S., & Hartmann, E. (2019) · Supply Chain Management An International Journal · doi:10.1108/scm-03-2018-0142 · Cited by 156
Smart cities and the citizen-driven internet of things: A qualitative inquiry into an emerging smart city
Kummitha, R. K. R., & Crutzen, N. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.12.001 · Cited by 155
Blockchain Enabled Industrial Internet of Things Technology
Zhao, S., Li, S., & Yao, Y. (2019) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2924054 · Cited by 155
Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT
Guo, X., Lin, H., Li, Z., & Peng, M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2960033 · Cited by 155
“With this kind of network, IoT technologies can effectively enhance the reliability, resilience, and efﬁciency of various systems in manufacturing, agriculture, smart city services, etc. [6]–[9].”
Background
Automatic Modulation Classification Using Gated Recurrent Residual Network
Huang, S., Dai, R., Huang, J., Yao, Y., Gao, Y., Ning, F., & Feng, Z. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2991052 · Cited by 155
“THE RECENT development of the Internet of Things (IoT) has drawn worldwide attention due to its vision of extending Internet connectivity to things in our physical world [1]−[4].”
Deep Residual Learning based Enhanced JPEG Compression in the Internet of Things
Qiu, H., Zheng, Q., Memmi, G., Lu, J., Meikang Qiu, A., & Thuraisingham, B. M. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2994743 · Cited by 155
“Nowadays, many such techniques have (IoT)[3].”
Circular economy in the construction industry: A review of decision support tools based on Information & Communication Technologies
Yu, Y., Yazan, D. M., Junjan, V., & Iacob, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.131335 · Cited by 155
“It is often built upon a variety of communication, identification and tracking technologies, such as RFID, Near Field Communication and Global Positioning System (Xu et al., 2014).”
Background
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
Gugulothu, N., Tv, V., Malhotra, P., Vig, L., Agarwal, P., & Shroff, G. M. (2020) · International Journal of Prognostics and Health Management · doi:10.36001/ijphm.2018.v9i1.2689 · Cited by 190
Efficient and Robust Certificateless Signature for Data Crowdsensing in Cloud-Assisted Industrial IoT
Zhang, Y., Deng, R. H., Zheng, D., Li, J., Wu, P., & Cao, J. P. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2894108 · Cited by 154
Towards building a blockchain framework for IoT
Pavithran, D., Shaalan, K. F., Al-Karaki, J. N., & Gawanmeh, A. (2020) · Cluster Computing · doi:10.1007/s10586-020-03059-5 · Cited by 153
Lightweight Cryptographic Protocols for IoT-Constrained Devices: A Survey
Khan, M. N., Rao, A., & Camtepe, S. A. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3026493 · Cited by 173
“The incremental addition of new technologies, such as sensors and actuators, brings the IoT under the umbrella of cyber-physical systems [37].”
Background
Production Plant and Warehouse Automation with IoT and Industry 5.0
Fatima, Z., Tanveer, M. H., Waseemullah, W., Zardari, S., Naz, L. F., Khadim, H., Ahmed, N., & Tahir, M. (2022) · Applied Sciences · doi:10.3390/app12042053 · Cited by 174
“Man is not at the center lies behind in the context of its ideology [2].”
BackgroundInfluential
Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities
Liu, X., Qian, C., Hatcher, W. G., Xu, H., Liao, W., & Yu, W. (2019) · IEEE Access · doi:10.1109/access.2019.2920763 · Cited by 152
INTERNET OF THINGS IN THE CONTEXT OF INDUSTRY 4.0: AN OVERVIEW
Λαμπρόπουλος, Γ., Siakas, K. V., & Anastasiadis, T. (2019) · International Journal of Entrepreneurial Knowledge · doi:10.2478/ijek-2019-0001 · Cited by 351
Trust management in social Internet of Things: A taxonomy, open issues, and challenges
Chahal, R. K., Kumar, N., & Batra, S. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.10.034 · Cited by 153
Streaming Random Patches for Evolving Data Stream Classification
Gomes, H. M., Read, J., & Bifet, A. (2019) · Proceedings · doi:10.1109/icdm.2019.00034 · Cited by 151
Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM
Yadav, S., Luthra, S., & Garg, D. (2020) · Operations Management Research · doi:10.1007/s12063-020-00164-x · Cited by 166
Understanding Data Heterogeneity in the Context of Cyber-Physical Systems Integration
Jirkovský, V., Obitko, M., & Mařı́k, V. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2596101 · Cited by 152
Blockchain Technology for Applications in Internet of Things—Mapping From System Design Perspective
Viriyasitavat, W., Xu, L. D., Bi, Z., & Hoonsopon, D. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2925825 · Cited by 152
Learning-Based Resource Allocation Strategy for Industrial IoT in UAV-Enabled MEC Systems
Sun, L., Wan, L., & Wang, X. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3024170 · Cited by 153
“The existing forest ﬁre monitoring and related technologies mainly include ground and near-ground monitoring, aerial monitoring, radar monitoring, satellite remote-sensing-combined geographic information system monitoring, and IIoT [4].”
Background
The Internet of Things for Logistics: Perspectives, Application Review, and Challenges
Tran‐Dang, H., Krommenacker, N., Charpentier, P., & Kim, D. (2020) · IETE Technical Review · doi:10.1080/02564602.2020.1827308 · Cited by 167
“By referring to the traditional OSI model, a more complex architecture of IoT systems as developed in [69,70] comprise of four functional layers, which are physical, transport, middleware, and applications layer.”
Method
Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspective
Kamalov, F., Pourghebleh, B., Gheisari, M., Liu, Y., & Moussa, S. (2023) · Sustainability · doi:10.3390/su15043317 · Cited by 163
Internet of things reference architectures, security and interoperability: A survey
Di Martino, B., Rak, M., Ficco, M., Esposito, A., Maisto, S. A., & Nacchia, S. (2018) · Internet of Things · doi:10.1016/j.iot.2018.08.008 · Cited by 148
A Temperature Compensated Smart Nitrate-Sensor for Agricultural Industry
Alahi, M. E. E., Xie, L., Mukhopadhyay, S. C., & Burkitt, L. L. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2696508 · Cited by 150
The Internet of People (IoP): A new wave in pervasive mobile computing
Conti, M., Passarella, A., & Das, S. K. (2017) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2017.07.009 · Cited by 150
A systematic review of IoT communication strategies for an efficient smart environment
Souri, A., Hussien, A. A., Hoseyninezhad, M., & Norouzi, M. (2019) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3736 · Cited by 150
A Review of Low-End, Middle-End, and High-End Iot Devices
Ojo, M. O., Giordano, S., Procissi, G., & Seitanidis, I. (2018) · IEEE Access · doi:10.1109/access.2018.2879615 · Cited by 170
Middleware technologies for cloud of things: a survey
Farahzadi, A., Shams, P., Rezazadeh, J., & Farahbakhsh, R. (2017) · Digital Communications and Networks · doi:10.1016/j.dcan.2017.04.005 · Cited by 148
Cyber–physical systems: Extending pervasive sensing from control theory to the Internet of Things
Bordel, B., Alcarria, R., Robles, T., & Martín, D. R. (2017) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2017.06.011 · Cited by 148
Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0
Faheem, M., & Güngör, V. Ç. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.07.045 · Cited by 148
Challenges for adopting and implementing IoT in smart cities
Janssen, M., Luthra, S., Mangla, S. K., Rana, N. P., & Dwivedi, Y. K. (2019) · Internet Research · doi:10.1108/intr-06-2018-0252 · Cited by 148
A Disaster Management Framework Using Internet of Things-Based Interconnected Devices
Sharma, K., Anand, D., Sabharwal, M., Tiwari, P. K., Cheikhrouhou, O., & Frikha, T. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/9916440 · Cited by 147
Impact of big data on supply chain management
Raman, S., Patwa, N., Niranjan, I., Ranjan, U., Moorthy, K., & Mehta, A. (2018) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2018.1459523 · Cited by 151
Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions
Koroniotis, N., Moustafa, N., & Sitnikova, E. (2019) · IEEE Access · doi:10.1109/access.2019.2916717 · Cited by 146
Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework
Stroumpoulis, A., & Kopanaki, E. (2022) · Sustainability · doi:10.3390/su14084862 · Cited by 166
“The first definitions of IoT that appeared were more oriented to the second word [88] and concerned mainly with RFID technology, which is connected to a network to transmit specific information [89].”
Background
Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector
Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120951 · Cited by 145
A Survey on Trend and Classification of Internet of Things Reviews
Aman, A. H. M., Yadegaridehkordi, E., Attarbashi, Z. S., Hassan, R. B., & Park, Y. J. (2020) · IEEE Access · doi:10.1109/access.2020.3002932 · Cited by 144
Application of Internet of Things and artificial intelligence for smart fitness: A survey
Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., & Minerva, R. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.107859 · Cited by 158
A Computer Science Perspective on Digital Transformation in Production
Brauner, P., Dalibor, M., Jarke, M., Kunze, I., Koren, I., Lakemeyer, G., Liebenberg, M., Michael, J., Pennekamp, J., Quix, C., et al. (2022) · ACM Transactions on Internet of Things · doi:10.1145/3502265 · Cited by 153
Preserving privacy in internet of things: a survey
Sen, A. A. A., Eassa, F. E., Jambi, K. M., & Yamin, M. (2018) · International Journal of Information Technology · doi:10.1007/s41870-018-0113-4 · Cited by 143
Applications of Blockchain in Industry 4.0: a Review
Chen, Y., Lu, Y., Bulysheva, L., & Kataev, M. Y. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10248-7 · Cited by 183
“…including Cyber-Physical Systems (CPS), Internet of Things (IoT), Internet of Services, Cloud Computing, Big Data, Mobile Internet, Machine Learning, Semantic Web, and virtualization (Li et al., 2015, 2018; Mabkhot et al., 2018; Wang et al., 2017; Whitmore et al., 2015; Xu et al., 2014).”
Experimental Link Quality Characterization of Wireless Sensor Networks for Underground Monitoring
Silva, B., Fisher, R., Kumar, A., & Hancke, G. P. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2471263 · Cited by 144
A Robust Time Synchronization Scheme for Industrial Internet of Things
Qiu, T., Zhang, Y., Qiao, D., Zhang, X., Wymore, M. L., & Sangaiah, A. K. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2738842 · Cited by 142
Technical aspects of blockchain and IoT
Atlam, H. F., & Wills, G. B. (2018) · Advances in computers · doi:10.1016/bs.adcom.2018.10.006 · Cited by 154
Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing
Wang, J., & Li, D. (2019) · Sensors · doi:10.3390/s19051023 · Cited by 142
Programmable Logic Controllers in the Context of Industry 4.0
Sehr, M. A., Lohstroh, M., Weber, M., Ugalde, I., Witte, M. E., Neidig, J., Höme, S., Niknami, M., & Lee, E. A. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3007764 · Cited by 141
“Trends such as Industry 4.0 predict the use of decentralized control and increased intelligence [7], [8].”
Influential
A reliable method for data aggregation on the industrial internet of things using a hybrid optimization algorithm and density correlation degree
Heidari, A., Shishehlou, H., Darbandi, M., Navimipour, N. J., & Yalçın, Ş. (2024) · Cluster Computing · doi:10.1007/s10586-024-04351-4 · Cited by 142
“This section examines a four-layer IoT model [38].”
The value of vehicle telematics data in insurance risk selection processes
Baecke, P., & Bocca, L. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.04.009 · Cited by 152
New Perspectives on Future Smart FiWi Networks: Scalability, Reliability, and Energy Efficiency
Liu, J., Guo, H., Nishiyama, H., Ujikawa, H., Suzuki, K.-I., & Kato, N. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2500960 · Cited by 142
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing
Zhang, Q., Yang, L. T., Chen, Z., Li, P., & Bu, F. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2791424 · Cited by 140
Hybrid-IoT: Hybrid Blockchain Architecture for Internet of Things - PoW Sub-Blockchains
Sagirlar, G., Carminati, B., Ferrari, E., Sheehan, J. D., & Ragnoli, E. (2018) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/cybermatics_2018.2018.00189 · Cited by 143
Big data and machine learning for crop protection
Ip, R. H. L., Ang, L.-M., Seng, K. P., Broster, J., & Pratley, J. E. (2018) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2018.06.008 · Cited by 142
ELNIDS: Ensemble Learning based Network Intrusion Detection System for RPL based Internet of Things
Verma, A., & Ranga, V. (2019) · International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) · doi:10.1109/iot-siu.2019.8777504 · Cited by 140
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
Wani, A., Revathi, S., & Khaliq, R. (2021) · CAAI Transactions on Intelligence Technology · doi:10.1049/cit2.12003 · Cited by 147
“IoT has been of great benefit to industries and it resuled in automation of maintenance and management [10].”
Background
Trust-Based Communication for the Industrial Internet of Things
Zhu, C., Rodrigues, J. J. P. C., Leung, V. C. M., Shu, L., & Yang, L. T. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700592 · Cited by 139
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions
Donta, P. K., Srirama, S. N., Amgoth, T., & Annavarapu, C. S. R. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.10.004 · Cited by 148
“Industrial IoT (IIoT) refers to IoT devices inter-connected with manufacturing, automation, or control systems to perform data collection and analysis for improved machine e ﬃ ciency and productivity [166].”
Background
How Machine Learning Changes the Nature of Cyberattacks on IoT Networks: A Survey
Bout, É., Loscrì, V., & Gallais, A. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3127267 · Cited by 150
The potentials of combining Blockchain technology and Internet of Things for digital reverse supply chain: A case study
Hrouga, M., Sbihi, A., & Chavallard, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.130609 · Cited by 143
Industrial Internet of Things: A Review of Improvements Over Traditional SCADA Systems for Industrial Automation
Babayiğit, B., & Abubaker, M. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3270620 · Cited by 166
“IIoT refers to the use of the Internet of Things (IoT) in industrialcontexts[2],[3],[4],[5],[6],[7],[8],[9].”
Background
IoT Forensics: Amazon Echo as a Use Case
Li, S., Choo, K. R., Sun, Q., Buchanan, W. J., & Cao, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2906946 · Cited by 138
Towards an Infrastructure Enabling the Internet of Production
Pennekamp, J., Glebke, R., Henze, M., Meisen, T., Quix, C., Hai, R., Gleim, L., Niemietz, P., Rudack, M., Knape, S., et al. (2019) · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · doi:10.1109/icphys.2019.8780276 · Cited by 138
ChainSplitter: Towards Blockchain-Based Industrial IoT Architecture for Supporting Hierarchical Storage
Wang, G., Shi, Z., Nixon, M., & Han, S. (2019) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain.2019.00030 · Cited by 137
A Review of Internet of Things—Resource Allocation
Li, X., & Xu, L. D. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3035542 · Cited by 138
“The IoT-based solu-tion that has been proposed to cater the need of various information is required for planning the relief operation post any natural disaster (Xu et al. 2014).”
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Internet of Things in Industries: A Survey

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks