📡 LoRa Communication Simulator

A realistic simulation of LoRa (Long Range) wireless communication between two nodes. This tool demonstrates key concepts in wireless networking, packet transmission, error detection, adaptive data rate (ADR), and channel interference modeling.

This simulator can be used for:

• Learning how LoRa works
• Testing network behavior under noise and distance
• Demonstrating understanding of wireless protocols
• Visualizing performance trends using graphs

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🧠 Features

✅ Packet Generation with CRC32 Checksums

Each packet includes a CRC32 checksum to validate integrity upon reception.

✅ Wireless Signal Loss Based on Distance

Signal strength degrades realistically as the distance increases.

✅ Channel Noise / Interference Modeling

Simulates external interference by introducing random corruption.

✅ Adaptive Data Rate (ADR) Simulation

Automatically adjusts spreading factor based on link quality to optimize throughput or reliability.

✅ Retransmission Logic

Packets are retransmitted up to 3 times if not received correctly.

✅ CLI Interface

Run simulations directly from the terminal with customizable parameters.

✅ Delivery vs Distance Plotting

Visualize how delivery rate changes over distance using matplotlib.

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📦 Requirements

Make sure you have the following installed:

pip install numpy matplotlib

💡 Note: Python 3.8+ is recommended.

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🚀 How to Run

🔹 Basic Usage

Runs a default simulation at 3000 meters with 10 packets and SF=10.

python simulator.py

🔹 Custom Simulation

Example with custom settings:

python simulator.py --distance 5000 --packets 15 --sf 9 --noise 0.2

🔹 Run Distance Sweep and Plot Results

Generates a graph showing how delivery rate decreases with increasing distance.

python simulator.py --plot --noise 0.1

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📋 Output Example

[Summary]
Packets Sent: 10
Packets Received: 8
Packets Corrupted: 1
Packets Lost: 1
Delivery Rate: 80.00%

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🚩 Command-Line Flags

Flag	Full Name	Description	Example
-h	--help	Show help message and exit	python simulator.py --help
--distance	Distance in meters	Simulated distance between sender and receiver	--distance 5000
--sf	Spreading Factor	Initial spreading factor (7–12)	--sf 9
--packets	Number of Packets	Total number of packets to send	--packets 20
--noise	Channel Noise Level	Simulated channel noise [0.0 to 1.0]	--noise 0.3
--quiet	Quiet Mode	Suppress per-packet output	--quiet
--plot	Run Distance Sweep	Run simulations at multiple distances	--plot

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✅ Example Usage Commands

# Basic simulation with default settings
python simulator.py

# Custom simulation: 5000m, 15 packets, SF=9, moderate noise
python simulator.py --distance 5000 --packets 15 --sf 9 --noise 0.2

# Plot delivery rate across multiple distances
python simulator.py --plot --noise 0.1

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