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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.\n\n## Project Structure\n\n```\ncolonet/\n├── assets/\n├── results/\n├── main.py                    # Core simulation and visualization\n├── report.pdf                 # Technical documentation\n├── presentation.pdf           # Presentation slides\n├── README.md\n├── LICENSE\n└── .gitignore\n```\n\n## Features\n\n- Mobile + fixed sensor modeling with configurable sensing radii\n- Real-time uncertainty visualization using `matplotlib`\n- Neighbor-based updates with optional tag-to-tag communication\n- Custom coordinate and sensor classes with basic physics support\n- Simulation toggle for enabling/disabling tag links\n\n## Getting Started\n\n### Dependencies\n\nThis project requires Python 3.9+ and the following packages:\n\n```bash\npip install numpy matplotlib pillow imageio[ffmpeg]\n```\n\n### Run the Simulation\n\n```bash\npython main.py\n```\n\nThis will launch a fullscreen live simulation showing:\n- Fixed anchors (colored ×)\n- Mobile tags (colored circles)\n- Dynamic links (anchor–tag, tag–tag)\n- Marker size ∝ uncertainty\n\n## Output Snapshots\n\n| Without Tag Links | With Tag Links |\n|-------------------|----------------|\n| ![](./results/notagcomm/end.jpg) | ![](./results/tagcomm/end.jpg) |\n\n\u003e The presence of inter-tag communication prevents uncertainty divergence over time.\n\n## Sample Output Video\n\nEach simulation produces a `sim.mp4` video showing localization evolution over time.\n\n| Mode              | Example Video           |\n|-------------------|-------------------------|\n| No Tag Comm       | `results/notagcomm/sim.mp4` |\n| With Tag Comm     | `results/tagcomm/sim.mp4`   |\n\n## Configuration\n\nEdit the following parameters directly in `main.py`:\n\n```python\ntagcomm        = True    # Enable/disable tag-to-tag communication\nfinal_time     = 10      # Total simulation time in seconds\nsensing_radius =  7      # Sensor range in meters\ntimestep       =  0.1    # Timestep in seconds\n```\n\n## Applications\n\n- Wildlife localization and monitoring\n- Ad hoc sensor networks in urban environments\n- Low-power distributed positioning systems\n- Indoor GPS-denied navigation\n\n## Project Context\n\n\u003e Developed as part of the course project for *EE 617: Sensors in Instrumentation* at **IIT Bombay**.\n\n**Author:**  \nAaron John Sabu  \nDepartment of Electrical Engineering  \nIndian Institute of Technology Bombay  \n\n## License\n\nMIT License © 2020  \nIndian Institute of Technology Bombay","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaronjs99%2Fcolonet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faaronjs99%2Fcolonet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaronjs99%2Fcolonet/lists"}