AoI-minimizing Scheduling in UAV-relayed IoT Networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9637506/9637115/09637803.pdf?arnumber=9637803
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Age-of-Information based Multi-UAV Trajectories Using Deep Reinforcement Learning;IETE Technical Review;2024-05-06
2. Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-Based Scheduling;IEEE Transactions on Wireless Communications;2024-01
3. Age of Information Oriented Heterogeneous Transmission Scheduling for Cluster-based Flying Ad-Hoc Networks;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17
4. ADFPA – A Deep Reinforcement Learning-based Flow Priority Allocation Scheme for Throughput Optimization in FANETs;Vehicular Communications;2023-12
5. Joint Optimization of Multi-UAV-Assisted Data Collection and Energy Replenishment via Transfer Learning aided Deep Reinforcement Learning;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20
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