Week 1

Objectives:

• Create a system to collect sensor data from two microcontrollers: Arduino Nano 33 IoT and ESP32.
• Use HTTP to send data from Arduino Nano 33 IoT to the Node.js server.
• Use TCP sockets to transmit data from the ESP32 to the same Node.js server.
• The Node.js server will save the data from both devices into an SQLite database.
• Implement real-time data visualization with Chart.js on the server.
• Set up an API endpoint to provide access to the data in JSON format.
• By the lab's end, gain an understanding of:
  • IoT device communication with servers.
  • Database management for storing sensor data.
  • Real-time visualization techniques for IoT data.
  • The differences and applications of HTTP and TCP protocols within IoT projects.

Lab:

Lab 1: Real-time data collection and transmission with TCP and HTTP 

Week 2

Raspberry PI configuration: 

• RPI config for IoT apps
• in IOTstack/docker-compose.yml, make sure to: 
  • use grafana version 10.0.6 (image: grafana/grafana:10.0.6)
  • Update all time zones to Europe/Paris
• Bluetooth Low Energy: 
  • ArduinoBLE: 
    • https://www.arduino.cc/reference/en/libraries/arduinoble/
    • https://docs.arduino.cc/tutorials/nano-33-iot/bluetooth
  • ESP32 BLE: https://randomnerdtutorials.com/esp32-bluetooth-low-energy-ble-arduino-ide/

Week 3

Introduction to MQTT and WebSockets: 

• Introduction to MQTT and WebSockets

 Node-RED tutorials:

• https://noderedguide.com/ 

InfluxDB guide:

• https://docs.influxdata.com/influxdb/v1/query_language/ 

Project

• IoT app project