Next Article in Journal
An Optical Chiral Sensor Based on Weak Measurement for the Real-Time Monitoring of Sucrose Hydrolysis
Next Article in Special Issue
Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems
Previous Article in Journal
Comparison of Femtosecond Laser-Assisted and Ultrasound-Assisted Cataract Surgery with Focus on Endothelial Analysis
Previous Article in Special Issue
Sensing Framework for the Internet of Actors in the Value Co-Creation Process with a Beacon-Attachable Indoor Positioning System
Systematic Review

Collaborative Indoor Positioning Systems: A Systematic Review

1
Institute of New Imaging Technologies, Universitat Jaume I, 12006 Castellón, Spain
2
Electrical Engineering Unit, Tampere University, 33014 Tampere, Finland
3
UBIK Geospatial Solutions S.L., 12006 Castellón, Spain
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(3), 1002; https://doi.org/10.3390/s21031002
Received: 17 December 2020 / Revised: 20 January 2021 / Accepted: 26 January 2021 / Published: 2 February 2021
(This article belongs to the Special Issue Novel Applications of Positioning Systems and Sensors)
Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts. In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in (collaborative) indoor positioning systems a large variety of technologies, techniques, and methods is being used. Moreover, the diversity of evaluation procedures and scenarios hinders a direct comparison. This paper presents a systematic review that gives a general view of the current CIPSs. A total of 84 works, published between 2006 and 2020, have been identified. These articles were analyzed and classified according to the described system’s architecture, infrastructure, technologies, techniques, methods, and evaluation. The results indicate a growing interest in collaborative positioning, and the trend tend to be towards the use of distributed architectures and infrastructure-less systems. Moreover, the most used technologies to determine the collaborative positioning between users are wireless communication technologies (Wi-Fi, Ultra-WideBand, and Bluetooth). The predominant collaborative positioning techniques are Received Signal Strength Indication, Fingerprinting, and Time of Arrival/Flight, and the collaborative methods are particle filters, Belief Propagation, Extended Kalman Filter, and Least Squares. Simulations are used as the main evaluation procedure. On the basis of the analysis and results, several promising future research avenues and gaps in research were identified. View Full-Text
Keywords: collaborative indoor positioning systems; positioning technique; positioning method; positioning technology; location-based services; systematic literature review collaborative indoor positioning systems; positioning technique; positioning method; positioning technology; location-based services; systematic literature review
Show Figures

Figure 1

MDPI and ACS Style

Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J.; Lohan, E.S.; Nurmi, J. Collaborative Indoor Positioning Systems: A Systematic Review. Sensors 2021, 21, 1002. https://doi.org/10.3390/s21031002

AMA Style

Pascacio P, Casteleyn S, Torres-Sospedra J, Lohan ES, Nurmi J. Collaborative Indoor Positioning Systems: A Systematic Review. Sensors. 2021; 21(3):1002. https://doi.org/10.3390/s21031002

Chicago/Turabian Style

Pascacio, Pavel, Sven Casteleyn, Joaquín Torres-Sospedra, Elena S. Lohan, and Jari Nurmi. 2021. "Collaborative Indoor Positioning Systems: A Systematic Review" Sensors 21, no. 3: 1002. https://doi.org/10.3390/s21031002

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop