<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through swarm intelligence. This paper introduces a drone swarm simulator designed to model, analyze, and optimize the cooperative behaviors of drone swarms in diverse operational environments to provide a realistic and scalable platform for the simulation of drones, incorporating real-world physics, communication constraints, and autonomous decision-making algorithms.</p>
</abstract>

The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through swarm intelligence. This paper introduces a drone swarm simulator designed to model, analyze, and optimize the cooperative behaviors of drone swarms in diverse operational environments to provide a realistic and scalable platform for the simulation of drones, incorporating real-world physics, communication constraints, and autonomous decision-making algorithms.

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through...

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Online veröffentlicht: 30. Mai 2024

Seitenbereich: 16 - 22

Eingereicht: 16. Feb. 2024

Akzeptiert: 14. Mai 2024

DOI: https://doi.org/10.2478/aei-2024-0003

Schlüsselwörter
drones, simulation, UAV, Internet of Vehicles

© 2024 Dušan Herich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Online veröffentlicht: 30. Mai 2024

Seitenbereich: 16 - 22

Eingereicht: 16. Feb. 2024

Akzeptiert: 14. Mai 2024

DOI: https://doi.org/10.2478/aei-2024-0003

Schlüsselwörterdrones, simulation, UAV, Internet of Vehicles

© 2024 Dušan Herich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
drones, simulation, UAV, Internet of Vehicles