The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Fault-Tolerant IoT System Using Software-Based “Digital Twin”
Open accessAbstract
In this article, we present a novel redundancy scheme to realize a fault-tolerant IoT structure for application in high-reliability systems. The proposed fault-tolerant structure uses a centralized data fusion block and triplicated IoT devices, along with software-based “digital twins”, that duplicate the function of each of the sensors. In case of a fault in one of the IoT devices, the pertinent digital twin takes over the function of the actual IoT device for some time in the triplicated structure till the faulty device is either replaced or repaired when possible. The use of software-based digital twins as a duplicate for each physical sensor improves the reliability of the operation with minimal increase in the overall system cost.
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“Prior studies have predominantly applied Digital Twins to simulation, prediction, or as virtual substitutes for individual sensors [4,13]; by contrast, this work explores their use for system-level redundancy and automated failover at the edge.”
From Digital Twins at the Edge: A High-Availability Framework for Resilient Data Processing in IoT Sensor Networks (2026) · cites this paper as [13]
In the citing paper
“Second, at an implementation level, existing resilience solutions for the edge are either too heavyweight (container orchestration requiring significant resources [8,35]), too slow (cold standby with recovery times exceeding minutes [11,16]), or too narrow (sensor-level backups that cannot assume full node functionality [13]).”
From Digital Twins at the Edge: A High-Availability Framework for Resilient Data Processing in IoT Sensor Networks (2026) · cites this paper as [13]
Citations
Cites
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Fault detection of wireless sensor networks
Lee, M.-H., & Choi, Y.-H. (2008) · Computer Communications · doi:10.1016/j.comcom.2008.06.014 · Cited by 235
Analysis on the redundancy of wireless sensor networks
Gao, Y., Wu, K., & Li, F. (2003) · doi:10.1145/941350.941366 · Cited by 148
Adday, G. H., Subramaniam, S. K., Zukarnain, Z. A., & Samian, N. (2022) · Sensors · doi:10.3390/s22166041 · Cited by 79
Fault tolerant and scalable IoT-based architecture for health monitoring
Gia, T. N., Rahmani, A.-M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2015) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas.2015.7133626 · Cited by 79
A survey on wireless sensor networks deployment
Bojkovic, Z. S., & Bakmaz, B. M. (2008) · WSEAS TRANSACTIONS on COMMUNICATIONS archive · Cited by 55
Redundancy and its applications in wireless sensor networks: a survey
Curiac, D.-I., Voloşencu, C., Pescaru, D., Jurca, L., & Doboli, A. (2009) · Cited by 40
Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey
Swain, R. R., Dash, T., & Khilar, P. M. (2022) · Wireless Personal Communications · doi:10.1007/s11277-022-09916-3 · Cited by 28
Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review
Rullo, A., Serra, E., & Lobo, J. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-17277-0_11 · Cited by 24
Fault Tolerance strategies for Wireless Sensor Networks – A Comprehensive Survey
Shyama, M., & Pillai, A. S. (2018) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict43934.2018.9034298 · Cited by 11
Research works printed but not linked: 13
- Internet of Things (IoT)
- Internet of Things (IoT): What it is and why it matters
- Kullaa, Detection, identification, and quantification of sensor fault, PROCEEDINGS OF ISMA2010 INCLUDING USD2010
- Mohapatra, 2024, Fault-Tolerant Approaches for IoT Integrated Smart City, Academia Engineering Special Issues
- 2022, What is a digital twin?
- 2024, Triple modular redundancy, Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia
- Baranwal, 2023, Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach
- Regunath, 2021, 10 Incredibly Useful Time Series Forecasting Algorithms, Advancing Analytics
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Cited by
Sorted by citations
Neagu, M., Serban, C. M., Hangan, A., & Sebestyen, G. (2026) · Future Internet · doi:10.3390/fi18030137 · Cited by 3
Fault Tolerance Mechanism for Transient Faults in IoT Based Traffic Data Transaction
Sowjanya Lakshmi, A., & Vanipriya, C. H. (2025) · Journal of Machine and Computing · doi:10.53759/7669/jmc202505191
Improving IoT Resilience through cold standby spraying and Markov chain analysis
Babu, N. R., Stallon, S. D., Kalakotla, S., Lakshmi, D. D., & Selvan, R. S. (2025) · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) · doi:10.1109/iccams65118.2025.11234180
When one sensor fails: tolerating dysfunction in multi-sensor prototypes
Hens, F., Sadough, A., Bokšan, A., Shahsavari, M., & Dehshibi, M. M. (2026) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2026.2660727
Metadata
- Authors
- Baranwal, T., Varada, S., Das, S., & Haider, M. R.
- Affiliations
- DomaniSystems, Inc,Shelton,CT,06484
- University of Missouri (US)
- Venue
- 2024 IEEE 10th World Forum on Internet of Things (WF-IoT)
- Publisher
- IEEE
- Published
- 2024-11-10
- Pages
- 828-833
- OpenAlex
- W4405909035
- Cited by
- 5
- References
- 11
- Citations by year
- 2026: 3 · 2025: 2
- FWCI
- 2.18
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE World Forum on Internet of Things (WF-IoT) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- fault tolerance, Internet of Things, digital twin, redundancy, sensor redundancy, high-reliability systems
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