LoRaWAN_Station
In this assignment we will built on-top of the cloud-based and edge-based components developed in the first and second assignments. Now we will replace the MQTT protocol and the short-range wireless medium with LoRaWAN and TheThingsNetwork. In this assignment you need to develop a new RIOT-OS application that will be executed on the B-L072Z-LRWAN1 LoRa kit. You will use TheThingsNetwork to interconnect the sensor devices with the cloud infrastructure via the MQTT protocol.
Using RIOT-OS develop an application that represents a virtual environmental station that generates periodically a set of random values for 5 different sensors:
temperature (-50 ... 50 Celsius)
humidity (0 ... 100%)
wind direction (0 ... 360 degrees)
wind intensity (0 ... 100 m/s)
rain height (0 ... 50 mm / h)
The virtual environmental station uses a unique ID (identity) to publish these random values on TheThingsNetwork via LoRaWAN.
Refs @ http://ichatz.me/Site/InternetOfThings2020-Assignment3
Requirements
- pahp-mqtt @ https://pypi.org/project/paho-mqtt/
- Mosquitto @ https://mosquitto.org/
- TheThingsNetwork @ https://www.thethingsnetwork.org/
- IOT-LAB @ https://www.iot-lab.info/
In order to make the whole thing work see the requirements @ MAIN PROJECT PAGE
It’s also important to go on your TTN console > application > Payload Formats and add the following javascript code to the decoder section:
function Decoder(bytes, port) {
var result = "";
for (var byte in bytes) {
result += String.fromCharCode(bytes[byte]);
}
return {"string": result};
}
TTNTBClient.py
The client receives data from the devices on the TheThingsNetwork and forwards the telemetry to Thingsboard.
Remember to set the variables ACCESS_TOKEN_C and ACCESS_TOKEN_D to your Thingsboard’s devices tokens.
Also remember to change the ttn_user, ttn_key, ttn_dev_e, ttn_dev_f with your devices parameters.
This file will run on your local machine.
main.c
- Copy the file main.c in the RIOT/tests/pkg_semtech-loramac folder
The file emulates two environmental stations sending data on the choosen topics formatted in a JSON script.
This file will be compiled in your IOT-LAB RIOT instance and the resulting .elf file will be flashed on two lorawan boards.
You can easily follow the dedicated TUTORIAL ON IOT-LAB keeping in mind that:
- at point (2), when you submit the experiment, change -l 1 with -l 2 in order to reserve two lorawan boards
- at point (7) execute the command once per board
- at point (8) do the operations per each board
Note that IOT-LAB uses the code of the 2019.01 release of RIOT.
Directory Example
Here is an example on how the directory tree can be:
