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March 3, 2026
AoI-minimal trajectory planning and data collection in UAVs crowdsensing by graph reinforcement learning
JT
Jiang Tong
YW
Yi Wang
University of Science and Technology of China
TH
Tiancong Huang
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Puntos clave
UAVs improved data collection efficiency through minimal trajectory planning with graph reinforcement learning techniques.
The study showcases a 20% increase in effective data collection routes compared to traditional methods.
Analysis employs graph reinforcement learning to optimize trajectory planning in collaborative UAV networks.
The findings highlight the potential of advanced algorithms to enhance data collection in UAV operations.
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AoI-minimal trajectory planning and data collection in UAVs crowdsensing by graph reinforcement learning | Synapse
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Tong et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75d02c6e9836116a2661d
https://doi.org/https://doi.org/10.1016/j.comnet.2026.112056