Drones offer opportunities for networking and control solutions, but also challenges when it comes to their coordination. In this paper, we apply a game theoretic model to multi-agent drone scenarios for wireless coverage, to regulate their movement so as to ensure timely positioning but avoiding collisions. Simulations are led through the Nash-Q learning algorithm to prove the theoretical analysis and confirm their predicted trajectory dynamics. The results of this work can be exploited as a tool to provide insights for multi-agent control.
Moving drones for wireless coverage in a three-dimensional grid analyzed via game theory
E. Camuffo;L. Badia
2021
Abstract
Drones offer opportunities for networking and control solutions, but also challenges when it comes to their coordination. In this paper, we apply a game theoretic model to multi-agent drone scenarios for wireless coverage, to regulate their movement so as to ensure timely positioning but avoiding collisions. Simulations are led through the Nash-Q learning algorithm to prove the theoretical analysis and confirm their predicted trajectory dynamics. The results of this work can be exploited as a tool to provide insights for multi-agent control.
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