A hybrid deep reinforcement learning and semidefinite relaxation algorithm optimizes UAV trajectories and collection scheduling under ISAC constraints, achieving up to 34.6% energy reduction in simulations while meeting minute-level DLR timescales.
Survey and evaluation of sensors for overhead cable detection using uavs
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UAV-based Energy-Efficient Data Collection in Smart Grids with ISAC QoS Guarantees
A hybrid deep reinforcement learning and semidefinite relaxation algorithm optimizes UAV trajectories and collection scheduling under ISAC constraints, achieving up to 34.6% energy reduction in simulations while meeting minute-level DLR timescales.