The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Sensor network data fault types
Open accessAbstract
This tutorial presents a detailed study of sensor faults that occur in deployed sensor networks and a systematic approach to model these faults. We begin by reviewing the fault detection literature for sensor networks. We draw from current literature, our own experience, and data collected from scientific deployments to develop a set of commonly used features useful in detecting and diagnosing sensor faults. We use this feature set to systematically define commonly observed faults, and provide examples of each of these faults from sensor data collected at recent deployments.
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Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
A Survey of Outlier Detection Methodologies
Hodge, V., & Austin, J. (2004) · Artificial Intelligence Review · doi:10.1007/s10462-004-4304-y · Cited by 3,596
An analysis of a large scale habitat monitoring application
Szewczyk, R., Mainwaring, A., Polastre, J., Anderson, J., & Culler, D. (2004) · Proceedings of the 2nd international conference on Embedded networked sensor systems · doi:10.1145/1031495.1031521 · Cited by 978
Tolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Burgess, S., Dawson, T., Buonadonna, P., Gay, D., et al. (2005) · Proceedings of the 3rd international conference on Embedded networked sensor systems · doi:10.1145/1098918.1098925 · Cited by 776
Krishnamachari, B., & Iyengar, S. (2004) · IEEE Transactions on Computers · doi:10.1109/tc.2004.1261832 · Cited by 626
Designing Secure Sensor Networks
Shi, E., & Perrig, A. (2004) · IEEE Wireless Communications · doi:10.1109/mwc.2004.1368895 · Cited by 583
Near-optimal sensor placements: maximizing information while minimizing communication cost
Krause, A., Guestrin, C., Gupta, A., & Kleinberg, J. (2006) · Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06 · doi:10.1145/1127777.1127782 · Cited by 398
Tolerating failures of continuous-valued sensors
Marzullo, K. (1990) · ACM Transactions on Computer Systems · doi:10.1145/128733.128735 · Cited by 257
Declarative Support for Sensor Data Cleaning
Jeffery, S. R., Alonso, G., Franklin, M. J., Hong, W., & Widom, J. (2006) · Lecture Notes in Computer Science · doi:10.1007/11748625_6 · Cited by 249
Cleaning and querying noisy sensors
Elnahrawy, E., & Nath, B. (2003) · Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications · doi:10.1145/941350.941362 · Cited by 184
Cited by
Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review
Erhan, L., Ndubuaku, M., Di Mauro, M., Song, W., Chen, M., Fortino, G., Bagdasar, O., & Liotta, A. (2021) · Information Fusion · doi:10.1016/j.inffus.2020.10.001 · Cited by 378
Development of Digital Twin for FDM Printer With Preventive Cyber-Attack and Control Algorithms
Hazrat Ali, M., Waqar Malik, A., Jyeniskhan, N., Arif Mahmood, M., Shehab, E., & Liou, F. (2024) · IEEE Access · doi:10.1109/access.2024.3516827 · Cited by 12
Metadata
- Authors
- Ni, K., Ramanathan, N., Chehade, M. N. H., Balzano, L., Nair, S., Zahedi, S., Kohler, E., Pottie, G., Hansen, M., & Srivastava, M.
- Venue
- ACM Transactions on Sensor Networks
- Published
- 2009-05
- Volume
- 5
- Issue
- 3
- Pages
- 1-29
- ISSN
- 1550-4859 (ISSN-L)
- 1550-4867
- OpenAlex
- W307938802
- Cited by
- 431
- References
- 12
- FWCI
- 33.43
- Type
- journal article
- Language
- en
- Open access
- green
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- Ni, K., Ramanathan, N., Chehade, M. N. H., Balzano, L., Nair, S., Zahedi, S., Kohler, E., Pottie, G., Hansen, M., & Srivastava, M. (2009). Sensor network data fault types. ACM Transactions on Sensor Networks. https://doi.org/10.1145/1525856.1525863
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
