Geolocation of Devices in Low-Power Wide-Area Lora Network

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.

Authors

Publication Details

Journal
Communications - Scientific letters of the University of Zilina
Published
2025-09-19
DOI
https://doi.org/10.26552/com.c.2025.050
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Geolocation of Devices in Low-Power Wide-Area Lora Network

Marek Galinski, Alexander Valach, Pavel Čičák, Ladislav Zemko et al.
Communications - Scientific letters of the University of Zilina
Indoor and Outdoor Localization Technologies
article

Geolocation of Devices in Low-Power Wide-Area Lora Network

Marek Galinski, Alexander Valach, Pavel Čičák, Ladislav Zemko, Daniel Hroš
article en

Abstract

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.

Communications - Scientific letters of the University of Zilina
Openalex Percentile: Top 75%
Indoor and Outdoor Localization Technologies
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Geolocation of Devices in Low-Power Wide-Area Lora Network — Marek Galinski, Alexander Valach, et al. · Communications - Scientific letters of the University of Zilina (2025) | TGRS Research Map | TGRS