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Running LoRaWAN Locally: How Edge Computing Eliminates Cloud Dependency

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A developer has shared a practical guide for processing LoRaWAN sensor data locally using edge computing, bypassing cloud platforms like The Things Network. The approach uses a self-hosted stack combining ChirpStack or TTN Community Edition, Mosquitto MQTT, Telegraf, InfluxDB, and Node-RED, all deployable via Docker. A Raspberry Pi 4 is cited as sufficient to handle decoding for over 50 sensor nodes when data streams are managed efficiently. After 12 months of operating a cloud-independent LoRaWAN setup, the author concludes that the main challenge is not processing power but designing a consistent data-flow architecture. The guide recommends starting with a minimal ChirpStack and InfluxDB test stack using just three to five sensors to surface real architectural requirements early.

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