The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
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
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
Research works printed but not linked: 1
- 2011, Archives of Photogrammetry, Cartography and Remote Sensing, 22, 39
Cited by
Sorted by citations
Items 101–200 of 513
Trilateration in Indoor Positioning with an Uncertain Reference Point
Teoman, E., & Ovatman, T. (2019) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2019.8743240 · Cited by 24
Adege, A. B., Munaye, Y. Y., Tarekegn, G. B., Lin, H., Yen, L., & Li, Y. R. (2018) · Wireless and Optical Communications Conference · doi:10.1109/wocc.2018.8372704 · Cited by 23
An Improvement of Flower Pollination Algorithm for Node Localization Optimization in WSN.
Pan, J., Dao, T.-K., Pan, T.-S., Nguyen, T.-T., Chu, S., & Roddick, J. F. (2017) · J. Inf. Hiding Multim. Signal Process. · Cited by 23
Real-Time Tracking System Based on RFID to Prevent Worker–Vehicle Accidents
Arboleya, A., Laviada, J., Álvarez, Y., & Las‐Heras, F. (2021) · IEEE Antennas and Wireless Propagation Letters · doi:10.1109/lawp.2021.3097136 · Cited by 23
A Self-Adaptive Model-Based Wi-Fi Indoor Localization Method
Tuta, J., & Jurič, M. B. (2016) · Sensors · doi:10.3390/s16122074 · Cited by 23
Zhang, W., Hua, X., Yu, K., Qiu, W., Zhang, S., & He, X. (2018) · Sensor Review · doi:10.1108/sr-06-2017-0109 · Cited by 23
Smartphone-Based Indoor Localization within a 13th Century Historic Building
Fetzer, T., Ebner, F., Bullmann, M., Deinzer, F., & Grzegorzek, M. (2018) · Sensors · doi:10.3390/s18124095 · Cited by 23
Development of Textile-based Pressure Sensor and Its Application
Lim, S. J., Bae, J. H., Jang, S. J., Lim, J. Y., & Ko, J. H. (2018) · Fibers and Polymers · doi:10.1007/s12221-018-8813-8 · Cited by 22
Albaidhani, A., & Alsudani, A. (2020) · IET Wireless Sensor Systems · doi:10.1049/wss2.12006 · Cited by 22
Sampaio, N. A. D. S., de Barros, J. G. M., de Almeida, M. D. G. D., Bastos, B., ARAUJO, A. H. D., & PEREIRA, R. D. S. (2019) · Revista SODEBRAS · doi:10.29367/issn.1809-3957.14.2019.165.18 · Cited by 22
Parameter Estimation for Mobile Positioning Applications
Kasebzadeh, P. (2017) · Linköping University Electronic Press eBooks · doi:10.3384/lic.diva-141877 · Cited by 22
Dictionary-Based Statistical Fingerprinting for Indoor Localization
Kumar, C., & Rajawat, K. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2929360 · Cited by 22
UWB-based Indoor Localization Using Ray-tracing Algorithm
Hyun, J., Oh, T., Lim, H., & Myung, H. (2019) · International Conference on Ubiquitous Robots (UR) · doi:10.1109/urai.2019.8768568 · Cited by 22
Block-sparsity-based localization in wireless sensor networks
Bay, A., Carrera, D., Fosson, S. M., Fragneto, P., Grella, M., Ravazzi, C., & Magli, E. (2015) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-015-0410-6 · Cited by 21
Castillo‐Cara, M., Lovón-Melgarejo, J., Bravo-Rocca, G., Orozco–Barbosa, L., & García-Varea, I. (2017) · Journal of Sensors · doi:10.1155/2017/1928578 · Cited by 21
Analysis of Range Based Indoor Positioning Techniques for Personal Communication Networks
Rapiński, J., & Cellmer, S. (2015) · Mobile Networks and Applications · doi:10.1007/s11036-015-0646-8 · Cited by 21
Cubic-Receiver-Based Indoor Optical Wireless Location System
Wei, L., Zhang, H., Yu, B., Song, J., & Guan, Y. (2016) · IEEE photonics journal · doi:10.1109/jphot.2016.2519281 · Cited by 21
Multilateration localization based on Singular Value Decomposition for 3D indoor positioning
Yang, J., Lee, H., & Moessner, K. (2016) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2016.7743627 · Cited by 21
Optimal placement of access points for indoor positioning using a genetic algorithm
Eldeeb, H., Arafa, M. M., & Saidahmed, M. T. F. (2017) · International Conference on Computer Engineering & Systems (ICCES) · doi:10.1109/icces.2017.8275323 · Cited by 21
Localization technologies for smart agriculture and precision farming: A review
Diao, Z., Chen, L., Yang, Y., Liu, Y., Yan, J., He, S., & Zhang, B. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110464 · Cited by 20
Phone Application for Indoor Localization Based on Ble Signal Fingerprint
Benaissa, B., Hendrichovsky, F., Yishida, K., Köppen, M., & Sinčák, P. (2018) · IFIP International Conference on New Technologies, Mobility and Security (NTMS) · doi:10.1109/ntms.2018.8328729 · Cited by 20
Mobility improves LMI-based cooperative indoor localization
Wang, X., Zhou, H., Mao, S., Pandey, S., Agrawal, P., & Bevly, D. M. (2015) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc.2015.7127811 · Cited by 20
Method and Analysis of Spectrally Compressed Radio Images for Mobile-Centric Indoor Localization
Talvitie, J., Renfors, M. K., Valkama, M., & Lohan, E. S. (2017) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2017.2741487 · Cited by 20
Mihoubi, M., Rahmoun, A., & Lorenz, P. (2018) · International Journal of Distributed Systems and Technologies · doi:10.4018/ijdst.2019010106 · Cited by 20
Vashist, A., Bhanushali, D., Relyea, R., Hochgraf, C. G., Ganguly, A., Manoj, P. D. S., Ptucha, R., Kwasinski, A., & Kuhl, M. E. (2020) · International Conference on Consumer Electronics · doi:10.1109/icce46568.2020.9043072 · Cited by 20
Multi-Sensor Fusion Approach for Improving Map-Based Indoor Pedestrian Localization
Huang, H.-Y., Hsieh, C.-Y., Liu, K.-C., Cheng, H.-C., Hsu, S. J.-P., & Chan, C.-T. (2019) · Sensors · doi:10.3390/s19173786 · Cited by 20
Oguchi, K., Maruta, S., & Hanawa, D. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.07.066 · Cited by 19
Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation
Firdaus, F., Ahmad, N. A., & Sahibuddin, S. (2019) · Sensors · doi:10.3390/s19245546 · Cited by 19
1*2 RFID-Reader Array Antenna for Narrowband Indoor Positioning Applications
LSSC & LERSI Laboratories FST of Fez, U., Tabakh, I., Jorio, M., LSSC & LERSI Laboratories FST of Fez, U., Idrissi, N. E. A. E., & LSSC & LERSI Laboratories FST of Fez, U. (2019) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.126.21 · Cited by 19
3D Trilateration Localization using RSSI in Indoor Environment
Rose, N. D. R., Tan, L., & Ahmad, M. (2020) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2020.0110250 · Cited by 19
MHRP: A novel mobility handling routing protocol in Wireless Body Area Network
Karmakar, K., Biswas, S., & Neogy, S. (2017) · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) · doi:10.1109/wispnet.2017.8300099 · Cited by 19
Efficient Indoor Localization via Switched-Beam Antennas
Zhang, Y., & Psounis, K. (2019) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2019.2921763 · Cited by 18
Niang, M., Ndong, M., Dioum, I., Diop, I., Mashaly, M. E., & Ghany, M. A. A. E. (2021) · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) · doi:10.1109/miucc52538.2021.9447676 · Cited by 18
Localizing operators in the smart factory: A review of existing techniques and systems
Syberfeldt, A., Ayani, M., Holm, M., Wang, L., & Brewster, R. (2016) · International Symposium on Flexible Automation (ISFA) · doi:10.1109/isfa.2016.7790157 · Cited by 18
Indoor localization for IoT applications using fingerprinting
Fonseka, P., & Sandrasegaran, K. S. (2018) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2018.8355105 · Cited by 18
Misplaced product detection using sensor data without planograms
Solti, A., Raffel, M., Romagnoli, G., & Mendling, J. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.06.006 · Cited by 18
Wellness Assessment of Alzheimer’s Patients in an Instrumented Health-Care Facility
Masciadri, A., Comai, S., & Salice, F. (2019) · Sensors · doi:10.3390/s19173658 · Cited by 18
A Low Energy IoT Application Using Beacon for Indoor Localization
Pascale, F., Adinolfi, E. A., Avagliano, M., Giannella, V., & Salas-Espinales, A. (2021) · Applied Sciences · doi:10.3390/app11114902 · Cited by 18
A comparative analysis of indoor localization technologies
Roohi, K., & Fekr, A. R. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111527 · Cited by 17
Alinezhad, E., Gan, V., Chang, V. W.-C., & Zhou, J. Z. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.109169 · Cited by 23
Building/Environment Data/Information Enabled Location Specificity and Indoor Positioning
Li, C. C., Su, J., Chu, E. T.-H., & Liu, J. W. S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2748141 · Cited by 17
Robot self-localization in ultra-wideband large scale multi-node setups
Zandian, R., & Witkowski, U. (2017) · Workshop on Positioning, Navigation and Communications (WPNC) · doi:10.1109/wpnc.2017.8250062 · Cited by 17
Suroso, D. J., Rudianto, A. S. H., Arifin, M. Z., & Hawibowo, S. (2021) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/100166 · Cited by 17
A bluetooth low energy based system for personnel tracking
Ndzukula, S. G., Ramotsoela, D. T., Silva, B., & Hancke, G. P. (2017) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2017.8217481 · Cited by 17
Indoor Tracking, Mapping, and Navigation: Algorithms, Technologies, and Applications
Chow, J., Peter, M., Scaioni, M., & Al-Durgham, M. (2018) · Journal of Sensors · doi:10.1155/2018/5971752 · Cited by 17
UWB Positioning for Industrial Applications: the Galvanic Plating Case Study
Martinelli, A., Jayousi, S., Caputo, S., & Mucchi, L. (2019) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2019.8911746 · Cited by 17
Knof, M., Stock‐Homburg, R., & Schurer, J. (2023) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2023.2273256 · Cited by 16
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Pourpanah, F., & Etemad, A. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3670854 · Cited by 19
Localization error modeling of hybrid fingerprint-based techniques for indoor ultra-wideband systems
Bogdani, E., Vouyioukas, D., & Νομικός, Ν. (2015) · Telecommunication Systems · doi:10.1007/s11235-015-0116-4 · Cited by 16
Gaussian Process Regression Plus Method for Localization Reliability Improvement
Liu, K., Meng, Z., & Own, C. (2016) · Sensors · doi:10.3390/s16081193 · Cited by 16
Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization
Iqbal, J., Lazarescu, M. T., Tariq, O. B., & Lavagno, L. (2017) · International Workshop on Advances in Sensors and Interfaces (IWASI) · doi:10.1109/iwasi.2017.7974248 · Cited by 16
Phase-based Angle estimation approach in Indoor Localization system using Bluetooth Low Energy
Kumar, G., Gupta, V., & Tank, R. (2020) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec49089.2020.9215307 · Cited by 16
Indoor Positioning Using WiFi RSSI Trilateration and INS Sensor Fusion System Simulation
El-Naggar, A., Wassal, A. G., & Sharaf, K. (2019) · International Conference on Sensors, Signal and Image Processing (SSIP) · doi:10.1145/3365245.3365261 · Cited by 16
Basiouny, Y., Arafa, M. M., & Sarhan, A. M. (2017) · International Conference on Computer Engineering & Systems (ICCES) · doi:10.1109/icces.2017.8275322 · Cited by 15
Cognitive RF-based localization for mission-critical applications in smart cities: An overview
Uluşar, Ü. D., Çelik, G., & Al-Turjman, F. M. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106780 · Cited by 15
Short-Range Wireless Localization Based on Meta-Aperture Assisted Compressed Sensing
Zhou, T., Li, H., Ye, D., Huangfu, J., Qiao, S., Sun, Y., Zhu, W., Li, C., & Ran, L. (2017) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2016.2642106 · Cited by 15
Machine‐learning‐based system for multi‐sensor 3D localisation of stationary objects
Berz, E. L., Tesch, D. A., & Hessel, F. P. (2018) · IET Cyber-Physical Systems Theory & Applications · doi:10.1049/iet-cps.2017.0067 · Cited by 15
Factor Optimization for the Design of Indoor Positioning Systems Using a Probability-Based Algorithm
Pinto, B. H. O. U. V., Oliveira, H. A. B. F., & Souto, E. (2021) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan10010016 · Cited by 15
Electronically steerable antenna array for indoor positioning system
Bui, T. D., Le, M. T., & Nguyen, Q. C. (2018) · Journal of Electromagnetic Waves and Applications · doi:10.1080/09205071.2018.1555060 · Cited by 14
A Shopping Mall Indoor Navigation Application using Wi-Fi Positioning System
Tan, S. Y. (2020) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2020/42942020 · Cited by 14
Andò, B., Baglio, S., Crispino, R., & Marletta, V. (2021) · Applied Sciences · doi:10.3390/app11167392 · Cited by 14
End-to-End Sequential Indoor Localization Using Smartphone Inertial Sensors and WiFi
Nurpeiissov, M., Kuzdeuov, A., Assylkhanov, A., Khassanov, Y., & Varol, H. A. (2022) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii52469.2022.9708854 · Cited by 14
Nawaz, H., Bozkurt, A., & Tekin, İ. (2017) · Microwave and Optical Technology Letters · doi:10.1002/mop.30342 · Cited by 14
CaPSuLe: A camera-based positioning system using learning
Moon, Y., Noh, S., Park, D., Luo, C., Shrivastava, A., Hong, S., & Palem, K. V. (2016) · IEEE International System-on-Chip Conference (SOCC) · doi:10.1109/socc.2016.7905476 · Cited by 14
Radius based domain clustering for WiFi indoor positioning
Zhang, W., Hua, X., Yu, K., Qiu, W., Chang, X., Wu, B. Y., & Chen, X. (2017) · Sensor Review · doi:10.1108/sr-06-2016-0102 · Cited by 13
A real-subject evaluation trial for location-aware smart buildings
Inaya, M., Meli, M., Sikeridis, D., & Devetsikiotis, M. (2017) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2017.8116393 · Cited by 13
A prototype of static IR beacon-receiver positioning system based on triangulation method
Ciężkowski, M. (2018) · Measurement · doi:10.1016/j.measurement.2018.06.039 · Cited by 13
Localization within Hostile Indoor Environments for Emergency Responders
Boyle, A., & Tolentino, M. E. (2022) · Sensors · doi:10.3390/s22145134 · Cited by 13
Fehér, G., & Udvary, E. (2016) · Signals and communication technology · doi:10.1007/978-3-319-30201-0_28 · Cited by 13
Dabove, P., Pietra, V. D., & Lingua, A. M. (2017) · InTech eBooks · doi:10.5772/intechopen.69679 · Cited by 13
Aerial and underwater drone communication: potentials and vulnerabilities
Deebak, B. D., & Al-Turjman, F. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819972-5.00001-x · Cited by 13
Kim, S.-T., Fan, M., Jung, S., & Ko, S.-J. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.3019296 · Cited by 13
Harmonium: Asymmetric, Bandstitched UWB for Fast, Accurate, and Robust Indoor Localization
Kempke, B. P., Pannuto, P., & Dutta, P. K. (2016) · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · doi:10.1109/ipsn.2016.7460675 · Cited by 13
User Presence Inference via Encrypted Traffic of Wireless Camera in Smart Homes
Ji, X., Cheng, Y., Xu, W., & Zhou, X. (2018) · Security and Communication Networks · doi:10.1155/2018/3980371 · Cited by 13
Wireless indoor positioning system with inertial sensors and infrared beacons
Januszkiewicz, Ł., Kawecki, J., Kawecki, R., & Oleksy, P. (2016) · European Conference on Antennas and Propagation · doi:10.1109/eucap.2016.7481650 · Cited by 12
Bae, H., Oh, J., Lee, K., & Oh, J.-H. (2016) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2016.7866445 · Cited by 12
Transferred Knowledge Aided Positioning via Global and Local Structural Consistency Constraints
Guo, X., Wang, L., Li, L., & Ansari, N. (2019) · IEEE Access · doi:10.1109/access.2019.2903273 · Cited by 12
Apparent beacon position estimation for accuracy improvement in lateration positioning system
Ciężkowski, M., Romaniuk, S., & Wolniakowski, A. (2019) · Measurement · doi:10.1016/j.measurement.2019.107400 · Cited by 12
Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA
Mosleh, M. F., Abed, F. A., & Hamza, Z. A. (2021) · Journal of Techniques · doi:10.51173/jt.v3i1.278 · Cited by 11
Augmented reality assisted localization for indoor navigation on embedded computing platform
Fadzly, M., Sebastian, P., & Drieberg, M. (2017) · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · doi:10.1109/icsipa.2017.8120589 · Cited by 11
BLE Indoor Positioning System Using RSSI-based Trilateration.
Bembenik, R., & Falcman, K. (2020) · Cited by 11
Vashist, A., Li, M. P., Ganguly, A., Dinakarrao, S. M. P., Hochgraf, C. G., Ptucha, R., Kwasinski, A., & Kuhl, M. E. (2021) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2021.3101060 · Cited by 12
Indoor Localization System Based on Mobile Access Point Model MAPM Using RSS With UWB-OFDM
Ibnatta, Y., Khaldoun, M., & Sadik, M. (2022) · IEEE Access · doi:10.1109/access.2022.3168677 · Cited by 11
A Low Complexity Low Power Indoor Positioning System Based on Wireless Received Signal Strength
Li, H.-Y., & Ma, H. (2018) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2018.8531137 · Cited by 11
Baptizo: A sensor fusion based model for tracking the identity of human poses
Bazo, R., Reis, E. P., Seewald, L. A., Rodrigues, V. F., da Costa, C. A., Gonzaga, L., Antunes, R. S., Righi, R. D. R., Maier, A., Eskofier, B. M., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.03.011 · Cited by 11
Wichmann, J., & Leyer, M. (2021) · Journal of Medical Internet Research · doi:10.2196/28193 · Cited by 10
Localization Reliability Improvement Using Deep Gaussian Process Regression Model
Teng, F., Tao, W., & Own, C. (2018) · Sensors · doi:10.3390/s18124164 · Cited by 10
Indoor Positioning System Based on Wi-Fi and Bluetooth Low Energy
Abed, F. A., Hamza, Z. A., & Mosleh, M. F. (2022) · International Engineering Conference on Sustainable Technology and Development (IEC) · doi:10.1109/iec54822.2022.9807489 · Cited by 10
Analysis of Indoor Localization Techniques
Jovanović, M. D., & Djosic, S. M. (2023) · International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) · doi:10.1109/icest58410.2023.10187323 · Cited by 10
Simple and efficient localization method for IR-UWB systems based on two-way ranging
Kreiser, D., Martynenko, D., Klymenko, O., & Fischer, G. (2015) · IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) · doi:10.1109/icmim.2015.7117953 · Cited by 10
Consumers Attitude Towards Location-Based Advertising: An Exploratory Study
Gana, M. A., & Thomas, T. K. (2016) · Journal of Research in Marketing · doi:10.17722/jorm.v6i1.130 · Cited by 10
An enhanced localisation system for indoor environment using clustering technique
Alhammadi, A., Alias, M. Y., Tan, S. W., & Sapumohotti, C. (2017) · International Journal of Computational Vision and Robotics · doi:10.1504/ijcvr.2017.081241 · Cited by 10
Indoor positioning system for location based healthcare using trilateration with corrections
Draghici, I.-C., Vasilăţeanu, A., Goga, N., Păvăloiu, I.-B., Guta, L., Mihailescu, M. N., & Boiangiu, C.-A. (2017) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2017.8279885 · Cited by 10
A Research on Automated Guided Vehicle Indoor Localization System Via CSI
Huynh, M. K., & Nguyễn, D. A. (2019) · International Conference on System Science and Engineering · doi:10.1109/icsse.2019.8823560 · Cited by 10
STEPS: An Indoor Navigation Framework for Mobile Devices
Landau, Y., & Moshe, B. B. (2020) · Sensors · doi:10.3390/s20143929 · Cited by 10
Modeling the received signal strength intensity of Wi-Fi signal using Hidden Markov Models
Belmonte, Ó. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114726 · Cited by 10
Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
Huang, L. H., Yu, B., Du, S., Li, J., Jia, H., & Bi, J. (2023) · Remote Sensing · doi:10.3390/rs15020353 · Cited by 10
Location-aware smart campus security application
Liu, K., Warade, N., Pai, T., & Gupta, K. (2017) · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · doi:10.1109/uic-atc.2017.8397588 · Cited by 10
A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities
Dogan, D., Dalveren, Y., Kara, A., & Derawi, M. O. (2024) · IEEE Access · doi:10.1109/access.2024.3491977 · Cited by 9
A Constrained Kalman Filter for Wi-Fi-Based Indoor Localization with Flexible Space Organization
Sircoulomb, V., & Chafouk, H. (2022) · Sensors · doi:10.3390/s22020428 · Cited by 9
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
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
