Reproducibility package for: "Search space reduction in the spatial reuse problem using knowledge of k-nearest interferers"

This repository contains the official dataset, simulation scripts, and post-processing tools to reproduce the findings, tables, and figures presented in the manuscript: "Search space reduction in the spatial reuse problem using knowledge of k-nearest interferers". 1. Overview & Contents The package provides a complete end-to-end reproducibility workflow based on the Komondor wireless network simulator. It is structured as follows: data/topologies/: Network topology files (ranging from 2 to 27 WLANs, with 50 independent tests per scenario size). data/detailed_results/: Detailed simulation output files including local-search evaluations (2-AP, 3-AP, 4-AP), algorithm outputs (1-NI, 2-NI, 3-NI), Best-case reference data, and Default-case baseline configurations. data/processed_results/: Consolidated dataset (full_data.csv) containing per-test aggregated metrics used directly to plot figures. scripts/run_simulations/: Main Bash orchestration script (run.sh) along with Python scripts to generate topologies, system configurations, and run algorithm-selected evaluations. scripts/aggregate_results/: Utilities to clean parallel outputs and consolidate intermediate metrics. scripts/generate_figures/: Automated script (generate_figures.py) to reproduce the manuscript figures from the processed data. 2. Quick Reproduction Instructions To run the complete execution pipeline from scratch, execute the main entry point: bash scripts/run_simulations/run.sh To aggregate the output files and recreate the figures: python3 scripts/aggregate_results/clean_general.py python3 scripts/aggregate_results/consolidate.py python3 scripts/aggregate_results/aggregate_results.py python3 scripts/generate_figures/generate_figures.py 3. Software Requirements Bash shell Python 3 (with pandas, numpy, and matplotlib) Komondor network simulator Detailed descriptions of file conventions, script arguments, and topology mapping are provided in the included README.txt file within the package.