The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Survey of Wireless Indoor Positioning Techniques and Systems
Abstract
Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
He, S., & Chan, S.-H. G. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2464084 · Cited by 1,355
Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications
Yassin, A., Nasser, Y., Awad, M., Al-Dubai, A., Liu, R., Yuen, C., Raulefs, R., & Aboutanios, E. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2632427 · Cited by 916
Location Fingerprinting with Bluetooth Low Energy Beacons
Faragher, R., & Harle, R. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2430281 · Cited by 879
Machine learning in wireless sensor networks: Algorithms, strategies, and applications
Alsheikh, M. A., Lin, S., Niyato, D., & Tan, H.-P. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2320099 · Cited by 965
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G
del Peral-Rosado, J. A., Raulefs, R., Lopez-Salcedo, J. A., & Seco-Granados, G. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2785181 · Cited by 664
Metadata
- Authors
- Liu, H., Darabi, H., Banerjee, P., & Liu, J.
- Venue
- IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
- Published
- 2007-11
- Volume
- 37
- Issue
- 6
- Pages
- 1067-1080
- ISSN
- 1094-6977 (ISSN-L)
- OpenAlex
- W2100989187
- Cited by
- 4,098
- References
- 2
- FWCI
- 51.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, H., Darabi, H., Banerjee, P., & Liu, J. (2007). Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2007.905750
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