The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
LANDMARC: Indoor Location Sensing Using Active RFID
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Citations
Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
Cited by
Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities
Tang, B., Chen, Z., Hefferman, G., Pei, S., Wei, T., He, H., & Yang, Q. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2679740 · Cited by 353
“The two well-known examples of WSNs are ad hoc networks and radio frequency identification systems [25]–[27].”
BackgroundHybrid Indoor Positioning with Wi-Fi and Bluetooth: Architecture and Performance
Baniukevic, A., Jensen, C. S., & Lu, H. (2013) · 2013 IEEE 14th International Conference on Mobile Data Management · doi:10.1109/mdm.2013.30 · Cited by 91
Smart Pipe System for a Shipyard 4.0
Fraga-Lamas, P., Noceda-Davila, D., Fernández-Caramés, T., Díaz-Bouza, M., & Vilar-Montesinos, M. (2016) · Sensors · doi:10.3390/s16122186 · Cited by 73
ShopTalk: Independent Blind Shopping Through Verbal Route Directions and Barcode Scans
Nicholson, J., Kulyukin, V., & Coster, D. (2009) · The Open Rehabilitation Journal · doi:10.2174/1874943700902010011 · Cited by 70
RFID based real-time recognition of ongoing gesture with adversarial learning
Yu, Y., Wang, D., Zhao, R., & Zhang, Q. (2019) · Proceedings of the 17th Conference on Embedded Networked Sensor Systems · doi:10.1145/3356250.3360045 · Cited by 68
A Measurement Strategy to Assess the Optimal Design of an RFID-Based Navigation Aid
Ando, B., Baglio, S., Marletta, V., Crispino, R., & Pistorio, A. (2019) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2018.2879069 · Cited by 24
Machine Learning Algorithm for Wireless Indoor Localization
Abdullah, O. A., & Abdel-Qader, I. (2018) · Machine Learning - Advanced Techniques and Emerging Applications · doi:10.5772/intechopen.74754 · Cited by 14
Metadata
- Authors
- Ni, L. M., Liu, Y., Lau, Y. C., & Patil, A. P.
- Venue
- Wireless Networks
- Published
- 2004-11
- Volume
- 10
- Issue
- 6
- Pages
- 701-710
- ISSN
- 1022-0038 (ISSN-L)
- 1572-8196
- OpenAlex
- W2999214452
- Cited by
- 1,420
- References
- 1
- FWCI
- 28.77
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Data sources
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.
