"Simulation Dataset for UAV Network Link Reconfiguration Decisions in Dynamic Adversarial Environments"

"This dataset provides a comprehensive collection of simulated scenarios designed for the development, testing, and benchmarking of algorithms for Unmanned Aerial Vehicle (UAV) systems, particularly focusing on swarm intelligence, autonomous navigation, and decentralized coordination.The dataset addresses the increasing need for standardized and diverse environments to evaluate the performance of advanced algorithms in complex situations. The scenarios are structured to support research in areas such as path planning, collision avoidance, network routing, and collaborative task allocation for UAV swarms.The data is organized into two primary files:uav_global_scenarios.json: A JSON file containing the detailed, structured data for each scenario. We anticipate this file includes parameters such as:Scenario dimensions and boundaries.Initial states of UAVs (e.g., positions, velocities).Locations of targets or mission objectives.Definitions of static and\/or dynamic obstacles.(If applicable) Communication link properties or network topology parameters.uav_global_scenarios_summary.csv: A CSV file that provides a high-level, tabular summary of the scenarios. This file facilitates easy filtering and selection of specific test cases based on their key characteristics (e.g., number of UAVs, obstacle density, scenario type)."