Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process
Author:
Phadke Abhishek12ORCID, Medrano F. Antonio12ORCID, Sekharan Chandra N.2, Chu Tianxing12
Affiliation:
1. Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA 2. Department of Computer Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA
Abstract
The rapid advancement and increasing number of applications of Unmanned Aerial Vehicle (UAV) swarm systems have garnered significant attention in recent years. These systems offer a multitude of uses and demonstrate great potential in diverse fields, ranging from surveillance and reconnaissance to search and rescue operations. However, the deployment of UAV swarms in dynamic environments necessitates the development of robust experimental designs to ensure their reliability and effectiveness. This study describes the crucial requirement for comprehensive experimental design of UAV swarm systems before their deployment in real-world scenarios. To achieve this, we begin with a concise review of existing simulation platforms, assessing their suitability for various specific needs. Through this evaluation, we identify the most appropriate tools to facilitate one’s research objectives. Subsequently, we present an experimental design process tailored for validating the resilience and performance of UAV swarm systems for accomplishing the desired objectives. Furthermore, we explore strategies to simulate various scenarios and challenges that the swarm may encounter in dynamic environments, ensuring comprehensive testing and analysis. Complex multimodal experiments may require system designs that may not be completely satisfied by a single simulation platform; thus, interoperability between simulation platforms is also examined. Overall, this paper serves as a comprehensive guide for designing swarm experiments, enabling the advancement and optimization of UAV swarm systems through validation in simulated controlled environments.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference92 articles.
1. Zhang, X., Zhao, W., Liu, C., and Li, J. (2023). Distributed Multi-Target Search and Surveillance Mission Planning for Unmanned Aerial Vehicles in Uncertain Environments. Drones, 7. 2. Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments;Machovec;J. Supercomput.,2023 3. A Compilation of UAV Applications for Precision Agriculture;Sarigiannidis;Comput. Netw.,2020 4. Cooperative Multirobot Systems for Military Applications;Gans;Curr. Robot. Rep.,2021 5. Cao, Y., Qi, F., Jing, Y., Zhu, M., Lei, T., Li, Z., Xia, J., Wang, J., and Lu, G. (2022). Mission Chain Driven Unmanned Aerial Vehicle Swarms Cooperation for the Search and Rescue of Outdoor Injured Human Targets. Drones, 6.
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