A PPO-based centralized DRL policy coordinates multiple AUVs to reduce average AoI and improve data collection efficiency under energy and docking constraints in underwater IoT.
AUV Trajectory Learning for Underwater Acoustic Energy Transfer and Age Minimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer
A PPO-based centralized DRL policy coordinates multiple AUVs to reduce average AoI and improve data collection efficiency under energy and docking constraints in underwater IoT.