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A framework for performing DTN simulations based on asyncio.

Project description


A minimal framework for performing DTN simulations based on Python 3.7 and asyncio.

Note that this project is still a work in progress.


  • Python 3.7+
  • NumPy
  • tqdm for the progress bars
  • dtn-tvg-util
  • for uPCN integration, uPCN v0.7.0+ with the pyupcn module installed in the Python environment

Getting Started

Just install aiodtnsim via pip, e.g., in a virtual environment:

pip install aiodtnsim

For generating satellite scenarios (needed by the example script), you need to install the dtn-tvg-util Ring Road dependencies additionally:

pip install "dtn-tvg-util[ring_road]"

Now, you should be able to use the example scripts provided in the root directory of aiodtnsim to perform simple simulation runs, e.g. via:

bash examples/

Development Setup

First, clone the aiodtnsim, dtn-tvg-util, and upcn repositories (the latter only for using uPCN emulation) and change into the aiodtnsim directory. Now, create a virtual environment and install the required dependencies:

python3 -m venv --without-pip .venv
curl -sS | .venv/bin/python
source .venv/bin/activate
pip install -e .
pip install -e "../dtn-tvg-util[ring_road,gs_placement]"
pip install -U -r ../upcn/pyupcn/requirements.txt
python ../upcn/pyupcn/

If you want to perform a run with uPCN, ensure the latest binary has been built:

cd ../upcn


aiodtnsim is provided under the MIT license. See LICENSE for details.


The simulation event loop is based upon code by Damon Wischik.

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