LoRa Communication with ESP32

This project demonstrates wireless sensor data transmission using LoRa SX126x modules and ESP32 microcontrollers. It consists of two nodes:

• Sensors_TX.ino → Sender Node: Reads data from sensors and transmits it over LoRa.
• Sensors_RX.ino → Receiver Node: Receives LoRa packets and displays the received sensor data.

📡 Project Overview

The Sender Node collects data from:

• BH1750 Light Sensor (Lux measurement)
• ME2-O2-D20 Oxygen Sensor (O₂ concentration %)
• Transmits the data over LoRa (868 MHz).

The Receiver Node:

• Listens for LoRa packets.
• Extracts and prints sensor data.
• Displays RSSI & SNR for signal quality analysis.

🚀 Hardware Components

1. ESP32 Board (x2)
2. SX126x LoRa Module (x2)
3. BH1750 Light Sensor (connected to sender)
4. ME2-O2-D20 Oxygen Sensor (connected to sender)
5. Jumper Wires & Breadboard

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⚙️ Circuit Connections

Sender Node (ESP32 & Sensors)

Component	ESP32 Pin
LoRa MISO	GPIO 11
LoRa MOSI	GPIO 10
LoRa SCLK	GPIO 9
LoRa NSS	GPIO 8
LoRa RESET	GPIO 12
LoRa BUSY	GPIO 13
BH1750 (SDA)	GPIO 36
BH1750 (SCL)	GPIO 0
O₂ Sensor	GPIO 7 (ADC1_CH0)

Receiver Node (ESP32 & LoRa)

Component	ESP32 Pin
LoRa MISO	GPIO 11
LoRa MOSI	GPIO 10
LoRa SCLK	GPIO 9
LoRa NSS	GPIO 8
LoRa RESET	GPIO 12
LoRa BUSY	GPIO 13

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🛠 Installation & Setup

1️⃣ Clone the Repository

https://github.com/Sohaib-Snouber/sensor_project.git

2️⃣ Install Dependencies

Ensure you have installed the required Arduino libraries:

• LoRaRF (for SX126x communication)
• BH1750 Light Sensor

To install:

1. Open Arduino IDE.
2. Go to Sketch → Include Library → Manage Libraries.
3. Search and install:
   • "LoRaRF"
   • "BH1750"

3️⃣ Upload the Code

• Open Sensors_TX.ino → Upload to Sender ESP32.
• Open Sensors_RX.ino → Upload to Receiver ESP32.

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📡 Expected Serial Output

Sender Output

Begin LoRa radio
Oxygen Sensor Preheating... Wait 20-30 minutes for stable readings.
Light: 300.50 lux
Oxygen Concentration: 20.95 %
Data Sent via LoRa!

Receiver Output

Light: 300.50 lux, O2: 20.95%
Packet status: RSSI = -40 dBm | SNR = 12.50 dB

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📝 License

This project is open-source under the MIT License.