LoRaWAN®
Functions

April 18, 2024

How to Access and Decode LoRaWAN Uplink Messages with Qubitro Decoder Functions

This tutorial guides you through using Qubitro's decoder functions to effectively decode data from LoRaWAN uplink messages, enhancing your IoT applications.

Overview of Qubitro Decoder Functions

Qubitro decoder functions are designed to parse the raw data transmitted by IoT devices over the LoRaWAN network. The function has a single parameter named input, which is automatically supplied by Qubitro and includes several properties:

  • bytes: A byte array containing the raw data from the uplink message.
  • fPort: The LoRaWAN fPort used for the uplink message.
  • metadata: Metadata provided by the LoRaWAN Network Server (LNS), which can vary depending on the LNS provider.

Example: Basic Access of Properties

Decoding a Temperature Sensor Message

Let's consider a scenario where a LoRaWAN device sends temperature data encoded in the bytes array. The following example demonstrates how to decode this data.

Example Decoder Function for Temperature Data

This function extracts the temperature from the bytes array by converting the bytes into a binary number, then interpreting it as a decimal number, and finally adjusting the scale (if necessary).

Example Decoder Function for Temperature and Humidity

This example demonstrates how to decode both temperature and humidity data from a LoRaWAN uplink message that includes multiple sensor readings. It shows handling for payload length checks and byte extraction for each sensor.

This function carefully handles the extraction of sensor data, ensuring the payload contains adequate bytes before attempting to decode the values. It then decodes the bytes into temperature and humidity readings, providing precise data for further processing or alerting within IoT applications.

Accessing Metadata in Decoder Functions

Qubitro decoder functions handle data from input which not only includes bytes and fPort but also metadata containing rich details from uplink messages. This metadata often includes:

  • Network information
  • Signal quality indicators like RSSI and SNR
  • Timing and frequency details

Example: Accessing SNR and RSSI

Example Metadata Structure

Here’s how to write a decoder function that leverages the incoming metadata to extract specific network metrics alongside sensor data.

This function not only decodes the temperature from the payload but also extracts SNR and RSSI, providing a comprehensive view of both the environmental condition and the transmission quality.

Conclusion

By using decoder functions in Qubitro, you can efficiently process complex data payloads from LoRaWAN uplink messages, unlocking the full potential of your IoT devices for advanced monitoring and automation tasks. These examples provide a foundation for developing robust applications capable of handling diverse environmental data.

For additional guidance and resources, refer to the Qubitro Documentation.

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