📡 Smart Lighting IoT System 🌍💡

This project is an automated lighting system based on IoT technology, designed for smart cities and home automation. The system uses light sensors (LDR) and motion sensors (PIR) to intelligently control lighting based on environmental conditions. The decision-making process takes place in the cloud, ensuring efficient energy management.

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📁 Project Structure

/Smart-Lighting-IoT
│── /ArduinoMkrWan         # LoRaWAN-based implementation (The Things Network)
│   │── mkrwan.ino         # Firmware for LoRaWAN IoT device
│   │── payloadformatterdownlink.txt # Downlink payload formatter for TTN
│   │── mqtt.py            # MQTT-based communication script for TTN
|   │── payloadformatterUplink.txt # uplink payload formatter for TTN
|   │── index.html         # Web interface for remote control
│
│── /esp32                 # WiFi-based implementation (ThingSpeak)
│   │── esp32.ino          # Firmware for ESP32 IoT device (WiFi communication)
│   
│── Report.pdf
│── README.md              # Documentation and instructions

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🚀 Features

• Automatic lighting control based on real-time light intensity and motion detection.
• LoRaWAN implementation using The Things Network (TTN) for low-power, long-range communication.
• WiFi implementation using ThingSpeak for cloud integration and remote control.
• Web Interface for users to manually control and monitor the lighting system.
• MQTT communication for real-time data exchange between IoT devices and cloud platforms.

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🛠️ Hardware Requirements

• ESP32 microcontroller (for WiFi-based system)
• Arduino MKR WAN 1300 (for LoRaWAN-based system)
• LDR (Light Dependent Resistor) sensor (for light intensity detection)
• PIR Motion Sensor (for movement detection)
• LED or Relay Module (for controlling the light)
• Resistors, jumper wires, and a breadboard
• Power supply (USB or battery)

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🖥️ Software Requirements

• Arduino IDE (for programming ESP32 and MKR WAN 1300)
• The Things Network (TTN) account (for LoRaWAN setup)
• ThingSpeak account (for WiFi-based cloud storage)
• Python 3 (for running the MQTT broker script)
• Live Server (for the web server via VScode)
• Paho MQTT (for handling MQTT messages)

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📡 Communication & Data Flow

1. Sensors (LDR & PIR) collect data → Light intensity (L) & Movement (P).
2. Data is transmitted to the cloud:
   • LoRaWAN implementation: Sent to TTN via mkrwan.ino.
   • WiFi implementation: Sent to ThingSpeak via esp32.ino.
3. Cloud processes the data and makes a decision (ON/OFF).
4. The decision is sent back to the IoT device:
   • TTN downlink message (LoRaWAN).
   • ThingSpeak API request (WiFi).
5. The IoT device activates or deactivates the light accordingly.
6. Users can manually control the system via the web interface (index.html).

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📦 Installation & Setup

1️⃣ LoRaWAN Implementation (MKR WAN 1300 + TTN)

1.1 Setup The Things Network (TTN)

• Register a TTN account.
• Create an IoT application and add a device (MKR WAN 1300).
• Configure uplink & downlink messages.
• Add the payload formatter (payloadformatterdownlink.txt).

1.2 Flash the firmware

• Open mkrwan.ino in Arduino IDE.
• Install LoRaWAN libraries.
• Compile and upload the firmware to the MKR WAN 1300.

1.3 Run MQTT Broker

• Install Paho MQTT:

  pip install paho-mqtt
  

• Run the MQTT script:

  python mqtt.py
  

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2️⃣ WiFi Implementation (ESP32 + ThingSpeak)

2.1 Setup ThingSpeak

• Register a ThingSpeak account.
• Create a new channel for light & motion data.
• Note down the API keys for sending/receiving data.

2.2 Flash the ESP32 Firmware

• Open esp32.ino in Arduino IDE.
• Install ESP32 board support.
• Add WiFi credentials and ThingSpeak API keys.
• Compile and upload the firmware to the ESP32.

2.3 Start Web Interface

• Open index.html in a web browser.
• Control the lighting system remotely.

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📊 Web Interface

The web interface allows users to:

• Turn lights ON/OFF manually.
• Enable detection mode (automatic control via sensors).
• Set RGB colors (if LED supports RGB control).
• View real-time sensor data.

To use the interface:

1. Start the Live Server (mqtt.py must be running).
2. Open index.html in your browser.
3. Click the buttons to send commands.

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🔗 References

• The Things Network
• ThingSpeak
• Arduino MKR WAN 1300 Docs
• ESP32 Documentation

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