Deep reinforcement learning for AoI minimization in UAV-aided data collection for WSN and IoT applications: a survey

Deep reinforcement learning for AoI minimization in UAV-aided data collection for WSN and IoT applications: a survey

Deep reinforcement learning (DRL) has emerged as a promising technique for optimizing the deployment of unmanned aerial vehicles (UAVs) for data collection in wireless sensor networks (WSNs) and Internet of Things (IoT) applications. With DRL, UAV trajectory can be optimized, optimal data collecti...

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Bibliographic Details
Main Authors: Ahmed Amodu, Oluwatosin, Jarray, Chedia, Raja Mahmood, Raja Azlina, Althumali, Huda, Ali Bukar, Umar, Nordin, Rosdiadee, Abdullah, Nor Fadzilah, Cong Luong, Nguyen
Format: Article
Language:en
Published: Institute of Electrical and Electronics Engineers 2024
Online Access:http://psasir.upm.edu.my/id/eprint/112003/1/published-10589619-Deep_Reinforcement_Learning_for_AoI_Minimization_in_UAV-Aided_Data_Collection_for_WSN_and_IoT_Applications_A_Survey.pdf
http://psasir.upm.edu.my/id/eprint/112003/
https://ieeexplore.ieee.org/document/10589619
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http://psasir.upm.edu.my/id/eprint/112003/1/published-10589619-Deep_Reinforcement_Learning_for_AoI_Minimization_in_UAV-Aided_Data_Collection_for_WSN_and_IoT_Applications_A_Survey.pdf
http://psasir.upm.edu.my/id/eprint/112003/
https://ieeexplore.ieee.org/document/10589619

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