LoRaWAN-Indoor
Nahshon Mokua Obiri and Kristof Van Laerhoven

Description

A comprehensive dataset of LoRaWAN path loss measurements collected over a six-month period in a multi-room indoor office environment (~240m², 290m above sea level) at the University of Siegen. Six strategically placed end devices and a single gateway systematically captured signal quality indicators -- including RSSI, SNR, and spreading factor -- alongside environmental conditions (temperature, relative humidity, CO₂ concentration, barometric pressure, and PM2.5 levels) at 1-minute intervals, and stored in a time-stamped InfluxDB database. This dataset enables in-depth analysis of how environmental dynamics and physical obstructions (e.g., walls and partitions) impact LoRaWAN signal propagation indoors. Measurements reveal that transient phenomena such as reflections, human activity, and furniture rearrangements can alter signal attenuation by over 10 dB. In addition to device and environmental parameters, each record includes derived metrics: effective signal power (ESP) and noise power (NP), enabling robust modeling. Example analyses -- including environment-aware path loss and shadowing models -- demonstrate that integrating structural and environmental features significantly improves prediction accuracy. The dataset supports research on indoor wireless propagation, distance estimation, energy optimization, and adaptive IoT deployment for next-generation (6G) systems.

Download

The dataset can be downloaded via the following link: https://zenodo.org/records/15349731

Citation

Nahshon Mokua Obiri and Kristof Van Laerhoven, "A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors," in IEEE Access, vol. 13, pp. 83148-83170, 2025, DOI: 10.1109/ACCESS.2025.3569164

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