Controlled measurements show Spreading Factor partitions Meshtastic performance into short, medium, and long regimes, with SF12 reaching 180 dB path loss before failure and enabling sub-noise-floor operation down to -18 dB SNR.
LoRaWAN in the Wild: Measurements from The Things Network
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abstract
The Long-Range Wide-Area Network (LoRaWAN) specification was released in 2015, primarily to support the Internet-of-Things by facilitating wireless communication over long distances. Since 2015, the role-out and adoption of LoRaWAN has seen a steep growth. To the best of our knowledge, we are the first to have extensively measured, analyzed, and modeled the performance, features, and use cases of an operational LoRaWAN, namely The Things Network. Our measurement data, as presented in this paper, cover the early stages up to the production-level deployment of LoRaWAN. In particular, we analyze packet payloads, radio-signal quality, and spatio-temporal aspects, to model and estimate the performance of LoRaWAN. We also use our empirical findings in simulations to estimate the packet-loss.
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Resilience Analysis in Off-Grid LoRa Mesh Networks: Evaluation of Meshtastic Profiles in Long-Range Propagation Scenarios
Controlled measurements show Spreading Factor partitions Meshtastic performance into short, medium, and long regimes, with SF12 reaching 180 dB path loss before failure and enabling sub-noise-floor operation down to -18 dB SNR.