Artificial intelligence and game theory controlled autonomous UAV swarms

Artificial intelligence and game theory controlled autonomous UAV swarms

Autonomous unmanned aerial vehicles (uavs) operating as a swarm can be deployed in austere environments, where cyber electromagnetic activities often require speedy and dynamic adjustments to swarm operations. Use of central controllers, uav synchronization mechanisms or pre-planned set of actions t...

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Bibliographic Details
Main Authors: Bertoli, G. (Author), Boksiner, J. (Author), Hoque, S.E (Author), Kusyk, J. (Author), Ma, K. (Author), Plishka, J. (Author), Samoylov, E. (Author), Uyar, M.U (Author), Valdez, R. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2021
Subjects:
ai
Antennas
Area of interest
Artificial intelligence
Autonomous uav
Autonomous UAVs
Autonomous unmanned aerial vehicles
Bio-inspired computation
Dynamic adjustment
Dynamic environments
Formal analysis
Game theory
Localization and tracking
manet
Military applications
Mobile ad hoc networks
Swarm
Synchronization mechanisms
Transmitters
Unmanned aerial vehicles (UAV)
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