LoRaWAN without cloud: Evaluate sensor data locally with edge computing
LoRaWAN without the cloud: Evaluate sensor data locally with edge computing "Why the hell do we send temperature data around the world if the evaluation computer is 3 meters next to the gateway?" - this question has turned my entire IoT architecture thinking upside down. Here we show concrete solutions beyond cloud dashboards. The underestimated computing power at the edge LoRaWAN advertises with "low…"
A German article discusses the benefits of evaluating sensor data locally using Edge Computing, rather than sending it to the cloud. The author questions the need to send temperature data around the world when the computer that will process it is just 3 meters away from the gateway. LoRaWAN is often marketed as low-power, but much of the computing is actually done in cloud services like The Things Network (TTN).
The article presents a solution using a local TTN standalone server, ChirpStack, and InfluxDB, which allows for local data processing and eliminates the need for cloud services, saving on MQTT bandwidth costs and API limits. The author also suggests using Node-RED for device management and provides performance tips and potential pitfalls to consider when implementing Edge Computing.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
