https://github.com/aaronjs99/colonet
CoLoNet: Collaborative Localization in Wireless Sensor Networks
https://github.com/aaronjs99/colonet
collaborative-sensing localization matplotlib python sensor-fusion trilateration wireless-sensor-networks
Last synced: about 2 months ago
JSON representation
CoLoNet: Collaborative Localization in Wireless Sensor Networks
- Host: GitHub
- URL: https://github.com/aaronjs99/colonet
- Owner: aaronjs99
- License: mit
- Created: 2020-12-08T14:43:48.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-07-25T10:54:00.000Z (11 months ago)
- Last Synced: 2025-09-08T22:25:37.258Z (10 months ago)
- Topics: collaborative-sensing, localization, matplotlib, python, sensor-fusion, trilateration, wireless-sensor-networks
- Language: Python
- Homepage:
- Size: 86.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# CoLoNet: Collaborative Localization in Wireless Sensor Networks
CoLoNet simulates how mobile wireless sensors can localize themselves more accurately by talking to each other. Using geometric uncertainty models and neighbor-based trilateration, it shows how inter-tag links can reduce localization error—especially when fixed anchors are few and far between.
## Project Structure
```
colonet/
├── assets/
├── results/
├── main.py # Core simulation and visualization
├── report.pdf # Technical documentation
├── presentation.pdf # Presentation slides
├── README.md
├── LICENSE
└── .gitignore
```
## Features
- Mobile + fixed sensor modeling with configurable sensing radii
- Real-time uncertainty visualization using `matplotlib`
- Neighbor-based updates with optional tag-to-tag communication
- Custom coordinate and sensor classes with basic physics support
- Simulation toggle for enabling/disabling tag links
## Getting Started
### Dependencies
This project requires Python 3.9+ and the following packages:
```bash
pip install numpy matplotlib pillow imageio[ffmpeg]
```
### Run the Simulation
```bash
python main.py
```
This will launch a fullscreen live simulation showing:
- Fixed anchors (colored ×)
- Mobile tags (colored circles)
- Dynamic links (anchor–tag, tag–tag)
- Marker size ∝ uncertainty
## Output Snapshots
| Without Tag Links | With Tag Links |
|-------------------|----------------|
|  |  |
> The presence of inter-tag communication prevents uncertainty divergence over time.
## Sample Output Video
Each simulation produces a `sim.mp4` video showing localization evolution over time.
| Mode | Example Video |
|-------------------|-------------------------|
| No Tag Comm | `results/notagcomm/sim.mp4` |
| With Tag Comm | `results/tagcomm/sim.mp4` |
## Configuration
Edit the following parameters directly in `main.py`:
```python
tagcomm = True # Enable/disable tag-to-tag communication
final_time = 10 # Total simulation time in seconds
sensing_radius = 7 # Sensor range in meters
timestep = 0.1 # Timestep in seconds
```
## Applications
- Wildlife localization and monitoring
- Ad hoc sensor networks in urban environments
- Low-power distributed positioning systems
- Indoor GPS-denied navigation
## Project Context
> Developed as part of the course project for *EE 617: Sensors in Instrumentation* at **IIT Bombay**.
**Author:**
Aaron John Sabu
Department of Electrical Engineering
Indian Institute of Technology Bombay
## License
MIT License © 2020
Indian Institute of Technology Bombay