Simulation of leader selection algorithm for vehicular ad-hoc network:

This is the simulation for leader selection algorithm, to see more details on the algorithm, visit the paper: https://arxiv.org/abs/1912.06776

Citing

To cite the paper, use this Bibtex:

@inproceedings{zhang2019leader,
  title={Leader selection in Vehicular Ad-hoc Networks: a Proactive Approach},
  author={Zhang, Rusheng and Jacquemot, Baptiste and Bakirci, Kagan and Bartholme, Sacha and Kaempf, Killian and Freydt, Baptiste and Montandon, Loic and Zhang, Shenqi and Tonguz, Ozan},
  booktitle={2020 IEEE 88th Vehicular Technology Conference (VTC-Fall)},
  year={2020},
  organization={IEEE}
}

To cite this code, you can use the following bibtex:

@misc{leaderselectionrepo,
  author = {Rusheng Zhang and Baptiste Jacquemot},
  title = {Leader Selection Algorithm Repo},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/beedrill/leader-selection-simulation}},
}

prerequisites

• SUMO version > 1.0
• SUMO_HOME environment parameter specified correctly
• python packages: numpy, scipy, matplotlib, pandas, to install all required python packages, do:

pip install -r requirement.txt

Execute

To execute the code, simply do:

python runner.py

Algorithm parameters can be specified, check:

python runner.py -h

More details

You can specify how to run the algorithm in more details, check multiMain.py for example, it contains an example of doing multiple simulations, retrieve usefule data and calculate the average

You write a batch script or bash script to use runner.py the way you want, check main.sh and main.bat for examples.