Agent-based RSU Handover Coordination (ARHC) Strategy PoC

For more info on the functionality, see the Master's Thesis titled "Multi-Agent Systems in Vehicular Edge Computing: A Communication-Criented Approach to Task Handovers".

Installation

Prerequisites

• Python 3.11+

Install the required packages using pip:

pip install -r requirements.txt

Dataset

The dataset used in the simulation is the Microscopic vehicular mobility trace of Europarc roundabout, Créteil, France.

The dataset is not included in this repository, but can be downloaded here.

Make sure to place both the morning and evening datasets in the datasets directory, i.e. the folder structure should be as follows:

datasets
    morning
        vanet-trace-creteil-20130924-0700-0900
            vanet-trace-creteil-20130924-0700-0900.csv
    evening
        vanet-trace-creteil-20130924-1700-1900
            vanet-trace-creteil-20130924-1700-1900.csv

Usage

The main runner is located in the simulation_runner.py file.

The ARHC strategy parameters tuning can be run using eval_strategy_params() and filling the search grid for the parameter evaluation.

Use run_all_benchmarks() to run all benchmarks in all configurations, or run individual configurations like run_benchmarks("creteil-morning", "9-half").

The plots can be created using the methods in utils/visualize_results.py.