LoRaMeter: Signal Mapping in LoRa Networks
Key: ZFL+23-1
Author: Julian Zobel, Paul Frommelt, Lukas Laufenberg, Régis Fayard, Lukas Wehrstein, Ralf Kundel, Ralf Steinmetz
Date: 2023
Kind: In proceedings
Book title: Proceedings of the 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023)
Abstract: Knowledge of signal properties of IoT radio technologies like LoRa is usually scarce, although necessary for optimizing such networks or modeling expressive simulation models. This work introduces a small signal-tracking device for LoRa networks, the LoRaMeter, which allows for collecting and determining signal characteristics of received LoRa transmissions within an available LoRa network. LoRaMeter is simple and easy to use, allowing its application as a simple throw-box for static measurement or as a mobile signal-tracking device. The gathered data is automatically uploaded to a backend server to construct a map view of the tracked LoRa signal properties.
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