Control Systems and Computers, N1, 2024, Article 6
https://doi.org/10.15407/csc.2024.01.057
Control Systems and Computers, 2024, Issue 1 (305), pp. 57-61
UDC 519:83
M.I. Alpert, PhD Student, Faculty of Informatics and Software Engineering, Department of Information Systems and Technologies, National Technical University of Ukraine “Igor Sikorsky”, Politekhnichna St, 41, Academic building № 18, Kyiv, 03056, Ukraine, ORCID: https://orcid.org/0000-0002-8938-1473, Scopus Author ID 57671921900, max292009@gmail.com
USING GAME THEORY TO IMPROVE DRONE OPERATIONS
The integration of game theory into optimizing the selection of drone charging stations and scheduling their operations is a revolutionary advance in unmanned vehicle logistics. Our research explores this frontier by emphasizing methodological innovation through the use of payoff matrices and Nash equilibrium to address the complex and changing requirements of drone operations. This research not only provides a strategic framework for resource optimization, but also highlights new ways to apply game theory to critical areas such as adaptive routing and swarm intelligence in drone management. By combining theoretical game models with practical applications of drones, we present a perspective that is poised to redefine drone operational strategies, paving the way for future research in this area.
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Keywords: game theory, winning, drone, strategy, optimization.
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Received 06.03.2024
