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Recent Advances in Wireless Indoor Localization Techniques and System
Open accessAbstract
The advances in localization based technologies and the increasing importance of ubiquitous computing and context-dependent information have led to a growing business interest in location-based applications and services. Today, most application requirements are locating or real-time tracking of physical belongings inside buildings accurately; thus, the demand for indoor localization services has become a key prerequisite in some markets. Moreover, indoor localization technologies address the inadequacy of global positioning system inside a closed environment, like buildings. Based on this, though, this paper aims to provide the reader with a review of the recent advances in wireless indoor localization techniques and system to deliver a better understanding of state-of-the-art technologies and motivate new research efforts in this promising field. For this purpose, existing wireless localization position system and location estimation schemes are reviewed, as we also compare the related techniques and systems along with a conclusion and future trends.
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“RFID tags have some benefits: their signals can penetrate walls and obstacles, which cover a wide area, and reuse existing infrastructures, resulting in cost reduction [90].”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [90]
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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
Survey of Wireless Indoor Positioning Techniques and Systems
Liu, H., Darabi, H., Banerjee, P. P., & Liu, J. (2007) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.905750 · Cited by 4,184
A survey of indoor positioning systems for wireless personal networks
Gu, Y., Lo, A., & Niemegeers, I. G. M. M. (2009) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2009.090103 · Cited by 1,564
WLAN location determination via clustering and probability distributions
Youssef, M. A., Agrawala, A. K., & Shankar, A. U. (2004) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2003.1192736 · Cited by 925
Yang, Z., Wu, C., & Liu, Y. (2012) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2348543.2348578 · Cited by 741
A Survey on Wireless Position Estimation
Gezici, S. (2007) · Wireless Personal Communications · doi:10.1007/s11277-007-9375-z · Cited by 555
Location, Localization, and Localizability
Liu, Y., Yang, Z., Wang, X., & Jian, L. (2010) · Journal of Computer Science and Technology · doi:10.1007/s11390-010-9324-2 · Cited by 313
FIFS: Fine-Grained Indoor Fingerprinting System
Xiao, J., Wu, K., Yi, Y., & Ni, L. M.-S. (2012) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn.2012.6289200 · Cited by 298
Localization Technologies for Indoor Human Tracking
Zhang, D., Xia, F., Yang, Z., Yao, L., & Zhao, W. (2010) · International Conference on Future Information Technology · doi:10.1109/futuretech.2010.5482731 · Cited by 272
A survey of mathematical methods for indoor localization
Seco, F. A., Jiménez, A. R., Prieto, C., Roa, J. O., & Koutsou, K. (2009) · IEEE International Symposium on Intelligent Signal Processing, · doi:10.1109/wisp.2009.5286582 · Cited by 209
Principal Component Localization in Indoor WLAN Environments
Fang, S., & Lin, T.-N. (2011) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2011.30 · Cited by 162
Indoor positioning in Bluetooth networks using fingerprinting and lateration approach
Subhan, F., Hasbullah, H., Rozyyev, A., & Bakhsh, S. T. (2011) · International Conference on Information Science and Applications · doi:10.1109/icisa.2011.5772436 · Cited by 156
Indoor localization using FM radio signals: A fingerprinting approach
Moghtadaiee, V., Dempster, A. G., & Lim, S. (2011) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2011.6071932 · Cited by 111
Integrity of map-matching algorithms
Quddus, M., Ochieng, W. Y., & Noland, R. B. (2006) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2006.08.004 · Cited by 107
Survey of location based wireless services
Mohapatra, D. K., & S.B, S. (2005) · IEEE International Conference on Personal Wireless Communications · doi:10.1109/icpwc.2005.1431366 · Cited by 103
Wireless local positioning - Concepts, solutions, applications
Vossiek, M., Wiebking, L., Gulden, P., Wieghardt, J., & Hoffmann, C. (2004) · IEEE Radio and Wireless Conference (RAWCON) · doi:10.1109/rawcon.2003.1227932 · Cited by 92
Investigation of indoor localization with ambient FM radio stations
Popleteev, A., Osmani, V., & Mayora, O. (2012) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2012.6199864 · Cited by 62
Hidden Issues in Deploying an Indoor Location System
Casas, R., Cuartielles, D. J., Marco, Á., Gracia, H., & Falcó, J. L. (2007) · IEEE Pervasive Computing · doi:10.1109/mprv.2007.33 · Cited by 57
Indoor localization using pedestrian dead reckoning updated with RFID-based fiducials
House, S., Connell, S. R., Milligan, I., Austin, D., Hayes, T. L., & Chiang, P. Y. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091873 · Cited by 51
A RSS-based fingerprinting method for positioning based on historical data
Khodayari, S., Maleki, M., & Hamedi, E. (2010) · International Symposium on Performance Evaluation of Computer and Telecommunication Systems · Cited by 51
Chan, S. K. C., & Sohn, G. (2012) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xxxviii-4-c26-1-2012 · Cited by 51
Comparison and analysis of indoor wireless positioning techniques
Xiao, J., Liu, Z., Yang, Y., Liu, D., & Han, X. (2011) · International Conference on Computer Science and Service System · doi:10.1109/csss.2011.5972088 · Cited by 49
Indoor person localization system through RSSI Bluetooth fingerprinting
Pérez‐Iglesias, H. J., Barral, V., & Escudero, C. J. (2012) · International Conference on Systems, Signals and Image Processing · Cited by 40
Indoor Positioning via Three Different RF Technologies
Vorst, P., Sommer, J., Hoene, C., Schneider, P. S., Weiß, C., Schairer, T., Rosenstiel, W., Zell, A., & Carle, G. (2008) · Cited by 38
Feasibility of ultrasound positioning based on signal strength
Medina, C., Segura, J. C., & Holm, S. (2012) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2012.6418917 · Cited by 29
MULTI-FLOOR INDOOR POSITIONING SYSTEM USING BAYESIAN GRAPHICAL MODELS
Alahmadi, A., Omer, A. I. A., Kamarudin, M. R., & Rahman, T. A. (2010) · Progress In Electromagnetics Research B · doi:10.2528/pierb10081202 · Cited by 29
A Zigbee-based localization algorithm for indoor environments
Hu, X. Y., Cheng, L., & Zhang, G. (2011) · International Conference on Computer Science and Network Technology (ICCSNT) · doi:10.1109/iccsnt.2011.6182313 · Cited by 25
Precise self-calibration of ultrasound based indoor localization systems
Runge, A., Baunach, M. C., & Kolla, R. (2011) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2011.6071920 · Cited by 24
Implementation of Location Determination in a Wireless Local Area Network (WLAN) Environment
Ismail, M. B., Boud, A. F. A., & Ibrahim, W. N. W. (2008) · International Conference on Advanced Communication Technology · doi:10.1109/icact.2008.4493911 · Cited by 24
Self-citationAlgorithmic strategies for adapting to environmental changes in 802.11 location fingerprinting
Hansen, R. R., Wind, R., Jensen, C. S., & Thomsen, B. (2010) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2010.5648270 · Cited by 22
Wi-Fi access point placement within stand-alone, hybrid and combined wireless positioning systems
Zirazi, S., Canalda, P., Mabed, H., & Spies, F. (2012) · International Conference on Communications and Electronics (ICCE) · doi:10.1109/cce.2012.6315912 · Cited by 20
Evaluation of WiFi-Based Indoor (WBI) Positioning Algorithm
Aboodi, A., & Wan, T. (2012) · FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC) · doi:10.1109/music.2012.52 · Cited by 19
An Enhanced Ranging Scheme Using WiFi RSSI Measurements for Ubiquitous Location
Park, D., & Park, J. G. (2011) · ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering · doi:10.1109/cnsi.2011.29 · Cited by 18
Indoor location system based on ZigBee devices and Metric Description Graphs
Fernandez, S., Gualda, D., García, J. C., García-Domínguez, J. J., Ureña, J., & Gutierrez, R. (2011) · IEEE International Symposium on Intelligent Signal Processing, · doi:10.1109/wisp.2011.6051706 · Cited by 16
Atia, M. M., Korenberg, M. J., & Noureldin, A. M. (2012) · IEEE/ION Position Location and Navigation Symposium · doi:10.1109/plans.2012.6236849 · Cited by 16
System Design for Ultra-Low-Power UWB-based Indoor Localization
Li, Z., Dehaene, W., & Gielen, G. E. (2007) · IEEE International Conference on Ultra-Wideband (ICUWB) · doi:10.1109/icuwb.2007.4381011 · Cited by 16
A Smart-Phone Indoor/Outdoor Localization System
Pereira, C. A., Guenda, L., & Carvalho, N. B. (2011) · Cited by 13
Assisting personal positioning in indoor environments using map matching
Attia, M., Moussa, A., Zhao, X., & El‐Sheimy, N. (2011) · Archives of Photogrammetry Cartography and Remote Sensing · Cited by 6
Location in Wireless Local Area Networks
Ciurana, M., Martin‐Escalona, I., & Barceló-Arroyo, F. (2018) · CRC Press eBooks · doi:10.1201/9781420071986-10 · Cited by 5
Map-matching and Positioning Uncertainty in Location Based Services (LBS)
Ahmed, A. M., Zhu, W., & Bekele, T. M. (2011) · Cited by 2
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- 2011, Archives of Photogrammetry, Cartography and Remote Sensing, 22, 39
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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. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2632427 · Cited by 919
RSSI-Based Indoor Localization With the Internet of Things
Sadowski, S., & Spachos, P. (2018) · IEEE Access · doi:10.1109/access.2018.2843325 · Cited by 558
A Survey on Indoor Positioning Systems for IoT-Based Applications
Farahsari, P. S., Farahzadi, A., Rezazadeh, J., & Bagheri, A. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3149048 · Cited by 546
A Review of Indoor Localization Techniques and Wireless Technologies
Obeidat, H., Shuaieb, W. S., Obeidat, O. A., & Abd‐Alhameed, R. A. (2021) · Wireless Personal Communications · doi:10.1007/s11277-021-08209-5 · Cited by 424
Indoor positioning and wayfinding systems: a survey
Kunhoth, J., Karkar, A., Al-Maadeed, S. A., & Al-Ali, A. K. (2020) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-020-00222-0 · Cited by 302
Metadata
- Authors
- Farid, Z., Nordin, R., & Ismail, M.
- Affiliations
- National University of Malaysia (MY)
- Corresponding author
- Farid, Zahid
- Venue
- Journal of Computer Networks and Communications
- Publisher
- Wiley
- Published
- 2013
- Volume
- 2013
- Pages
- 1-12
- ISSN
- 2090-7141 (ISSN-L)
- 2090-715X
- OpenAlex
- W1963996689
- Cited by
- 514
- References
- 40
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 15 · 2023: 18 · 2022: 30 · 2021: 44 · 2020: 59 · 2019: 79 · 2018: 67 · 2017: 79 · 2016: 44 · 2015: 39 · 2014: 12
- FWCI
- 19.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Computer Networks and Communications (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- Ministério da Ciência, Tecnologia e Inovação
- Universiti Kebangsaan Malaysia
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Wireless Communication Technologies
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- indoor positioning, wireless positioning, location-based services, ubiquitous computing, location estimation
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