Communications - Scientific Letters of the University of Zilina 2025, 27(4):E46-E62
Geolocation of Devices in Low-Power Wide-Area LoRa Network
- Institute of Computer Engineering and Applied Informatics, Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia
This article is focused on the geolocation possibilities in low-power deployments. A novel Logarithmic Distance Path Loss Model with a Memory (LDPL-M) algorithm is proposed to enhance the accuracy of determining the location of end devices. The proposed solution, utilizing the RSSI-based trilateration, proved more accurate by 24.54% compared to the conventional Logarithmic Distance Path Loss Model (LDPL). Compared to the Global Positioning System (GPS), the power consumption was 48.8% lower. These findings make it suitable for energy-harvesting deployments, environments with limited power supply, or generally hard-to-reach areas, covering various logistics, transportation, or asset tracking scenarios. Overall, in this article, a valuable insight into the geolocation, focusing on the accuracy and efficiency, is provided.
Keywords: LoRa, LoRaWAN, geolocation, IoT, LPWAN, RSSI, trilateration
Grants and funding:
Funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I05-03-V02-00012. This project has been supported by APVV-23-0137 project "Legal and technical aspects of cybersecurity situational awareness". The authors would like to thank for financial contribution from the STU Grant scheme for Support of Young Researchers. The authors would also like to express their gratitude to Slovanet, a.s. for granting access to the public provider network and borrowing the equipment necessary for the research.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.
Received: May 19, 2025; Accepted: August 6, 2025; Prepublished online: September 19, 2025; Published: October 7, 2025 Show citation
References
- DAWOUD, S. GNSS principles and comparison [online] [accessed 2025-04-15]. Potsdam, Germany: Potsdam University, 2012. Available from: http://www.snet.tu-berlin.de/fileadmin/fg220/courses/WS1112/snetproject/gnss-principles-and-comparison_dawoud.pdf
- SINHA, R., YIQIAO W., HWANG, S. A survey on LPWA technology: LoRa and NB-IoT. ICT Express [online]. 2017, 3(1), p. 14-21 [accessed 2025-04-15]. eISSN 2405-9595. Available from: https://doi.org/10.1016/j.icte.2017.03.004
Go to original source...
- LINK LABS A comprehensive look at low power, wide area networks [online] [accessed 2025-04-15]. 2016. Available from: https://www.link-labs.com/low-power-wide-area-networks-white-paper
- GARCHE, J., DYER, C. Encyclopedia of electrochemical power sources. Elsevier, 2009. ISBN 9780444520944.
- CHENEBAULT, P., VALLIN, D., THEVENIN, J., WIART, R. Impedance analysis of the lithium discharge in Li-SOCl2 cells: synergetic effect of SO2 and LiAl(SO3Cl)4. Journal of Applied Electrochemistry [online]. 1989, 19(3), p. 413-420 [accessed 2025-04-15]. ISSN 0021-891X, eISSN 1572-8838. Available from: https://doi.org/10.1007/BF01015245
Go to original source...
- ANJUM, M., KHAN, M. A., HASSAN, S. A., MAHMOOD, A., GIDLUND, M. Analysis of RSSI fingerprinting in LoRa networks. In: 2019 15th International Wireless Communications and Mobile Computing Conference IWCMC: proceedings [online]. 2019. ISBN 978-1-5386-7748-3, p. 1178-1183. Available from: https://doi.org/10.1109/IWCMC.2019.8766468
Go to original source...
- ARAS, E., RAMACHANDRAN, G. S., LAWRENCE, P., HUGHES, D. Exploring the security vulnerabilities of LoRa. In: 2017 3rd IEEE International Conference on Cybernetics CYBCONF: proceedings [online]. 2017. ISBN 978-1-5386-2201-8, p. 1-6. Available from: https://doi.org/10.1109/CYBConf.2017.7985777
Go to original source...
- LORA ALLIANCE LoRaWAN specification v1.1 [online] [accessed 2025-04-15]. 2017. Available from: https://lora-alliance.org/resource_hub/lorawan-specification-v1-1/
- Semtech Corporation LoRa and LoRaWAN [online] [accessed 2025-04-15]. 2024. Available from: https://www.semtech.com/uploads/technology/LoRa/lora-and-lorawan.pdf
- PERESINI, O., KRAJCOVIC, T. More efficient IoT communication through LoRa network with LoRa@FIIT and STIOT protocols. In: 2017 IEEE 11th International Conference on Application of Information and Communication Technologies AICT: proceedings [online]. 2017. ISBN 978-1-5386-0502-8, p. 1-6. Available from: https://doi.org/10.1109/ICAICT.2017.8686837
Go to original source...
- MONTAGNY, S. LoRa - LoRaWAN and internet of things for beginners [online] [accessed 2025-04-15]. University of Savoy Mont Blanc, 2021. Available from: https://www.univ-smb.fr/lorawan/wp-content/uploads/2022/01/Book-LoRa-LoRaWAN-and-Internet-of-Things.pdf
- ANJUM, M., KHAN, M. A., HASSAN, S. A., MAHMOOD, A., QURESHI, H. K., GIDLUND, M. RSSI fingerprinting-based localization using machine learning in LoRa networks. IEEE Internet of Things Magazine [online]. 2020, 3(4), p. 53-59 [accessed 2025-04-15]. ISSN 2576-3180, eISSN 2576-3199. Available from: https://doi.org/10.1109/IOTM.0001.2000019
Go to original source...
- FARGAS, B., PETERSEN, M. GPS-free geolocation using LoRa in low-power WANs. In: 2017 Global Internet of Things Summit GIoTS: proceedings [online]. 2017. ISBN 978-1-5090-5874-7, p. 1-6. Available from: https://doi.org/10.1109/GIOTS.2017.8016251
Go to original source...
- PODEVIJN, N., PLETS, D., AERNOUTS, M., BERKVENS, R., MARTENS, L., WEYN, M., JOSEPH, W. Experimental TDoA localisation in real public LoRa networks. In: 10th International Conference on Indoor Positioning and Indoor Navigation IPIN 2019: proceedings [online] [accessed 2025-04-15]. 2019. p. 211-218. Available from: https://ceur-ws.org/Vol-2498/short28.pdf
- ZUCCONI, A. Positioning and trilateration [online] [accessed 2025-04-15]. 2017. Available from: https://www.alanzucconi.com/2017/03/13/positioning-and-trilateration/
- OGUEJIOFOR, O., ANIEDU, A. N., EJIOFOR, H. C., OKOLIBE, A. U. Trilateration based localization algorithm for wireless sensor network. International Journal of Innovative Science and Modern Engineering (IJISME) [online]. 2013, 1(10). p. 21-27 [accessed 2025-04-15]. ISSN 2319-6386. Available from: https://www.ijisme.org/wp-content/uploads/papers/v1i10/J04470911013.pdf
- LESTABLE, T., LALAM, M., GRAU, M. Location-enabled LoRa IoT network: Geo-LoRa-ting your assets [online] [accessed 2025-04-15]. 2015. Available from: https://www.slideshare.net/slideshow/io-t-sagemcom-m2minnovationworldgeotrackv08/52922413
- RUSLI, M., ALI, M., JAMIL, N., DIN, M. M. An improved indoor positioning algorithm based on RSSI-trilateration technique for internet of things (IOT). In: 2016 International Conference on Computer and Communication Engineering ICCCE: proceedings [online]. 2016. ISBN 978-1-5090-2428-5, p. 72-77. Available from: https://doi.org/10.1109/ICCCE.2016.28
Go to original source...
- YANG, Z., LIU, Y. Quality of trilateration: confidence based iterative localization. In: 2008 The 28th International Conference on Distributed Computing Systems: proceedings [online]. 2008. ISSN 1063-6927, p. 446-453. Available from: https://doi.org/10.1109/ICDCS.2008.59
Go to original source...
- Semtech Corporation AN1200.22 LoRa modulation basics [online] [accessed 2025-04-15]. 2015. Available from: https://www.frugalprototype.com/wp-content/uploads/2016/08/an1200.22.pdf
- BISSET, D. Analysing TDoA localisation in LoRa Networks. Master's thesis [online] [accessed 2025-04-15]. Delft: TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, 2018. Available from: https://resolver.tudelft.nl/uuid:bea423b1-6f04-4708-8ed4-e8663dd51cde
- GARG, V. Wireless communications and networking. San Francisco, CA: Morgan Kaufmann Publishers, Inc. 2010. ISBN 9780080549071.
- JORKE, P., BOCKER, S., LIEDMANN, F., WIETFELD, CH. Urban channel models for smart city IoT-networks based on empirical measurements of LoRa-links at 433 and 868 MHz. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications PIMRC: proceedings [online]. 2017. ISBN 978-1-5386-3532-2, p. 1-6. Available from: https://doi.org/10.1109/PIMRC.2017.8292708
Go to original source...
- VALACH, A., MACKO, D. Exploration of the LoRa technology utilization possibilities in healthcare IoT devices. In: 2018 16th International Conference on Emerging eLearning Technologies and Applications ICETA: proceedings. 2018. ISBN 978-1-5386-7915-9, p. 623-628.
Go to original source...
- RAHMADHANI, A. Performance evaluation of LoRaWAN: from small-scale to large-scale network. Master's thesis [online] [accessed 2025-04-15]. Delft: TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science. 2017. Available from: https://resolver.tudelft.nl/uuid:b8acf9d3-9629-4439-9148-9e66aecbec1c
- PARENTE, L. LMIC-node - GitHub [online] [accessed 2025-04-15]. 2021. Available from: https://github.com/lnlp/LMIC-node
- BROCAAR, O. ChirpStack, open-source LoRaWAN Network Server [online] [accessed 2025-04-15]. 2016. Available from: https://www.chirpstack.io/
- SNYDER, J. Map projections: a working manual. Professional Paper 1395 [online] [accessed 2025-04-15]. 1987. Available from: https://doi.org/10.3133/pp1395
Go to original source...
- Proj Contributors Proj coordinate transformation software library - Open Source Geospatial Foundation [online] [accessed 2025-04-15]. 2025. Available from: https://doi.org/10.5281/zenodo.5884394
Go to original source...
- ZUCCONI, A. Understanding geographical coordinates [online] [accessed 2025-04-15]. 2017. Available from: https://www.alanzucconi.com/2017/03/13/understanding-geographical-coordinates/
- Great Britain. Ministry of Defence (NAVY) Admiralty manual of navigation. The Stationery Office, 1987, 1(45). ISBN 9780117714687.
- Nordic Semiconductor Power Profiler Kit II [online] [accessed 2025-04-15]. 2024. Available from: https://www.nordicsemi.com/Products/Development-hardware/Power-Profiler-Kit-2
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.