DORA-Explorer

To run the experiment:

• Build a Docker image from docker/Dockerfile : docker build IMAGE-NAME .
• Create a docker container from the image while sharing your X11 server see here.
• Go into /home/docker/DBM-SMS/sim/
• Compile the Buzz scripts: bzzc dbm-gradient.bzz and bzzc dbm-random-walk.bzz.
• Launch argos3 -c dbm-gradient.argos for the DORA algorithm and argos3 -c dbm-random-walk.argos for the random walk algorithm.

To evaluate the results:

• Put the resulting .csv files generated in /home/docker/DBM-SMS/sim/results from the runs you want to evaluate into their respective subfolders.
• Go into /home/docker/DBM-SMS/sim/benchmarking/ and run python compute_metrics.py
• The resulting figures will appear in /home/docker/DBM-SMS/sim/benchmarking/figures

If you already have argos3 and buzz installed on your computer you can simply clone the repository and build the C++ controller in /home/docker/DBM-SMS/sim/controller/. If you want communication benchmarking you also need to install this buzz version: https://github.com/lajoiepy/Buzz.git on branch bandwidth-log