Abstract
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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