AoI-energy-aware UAV-assisted data collection for IoT networks: A deep reinforcement learning method
Thanks to the inherent characteristics of flexible mobility and autonomous operation,
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …
Learning-based data gathering for information freshness in UAV-assisted IoT networks
Unmanned aerial vehicle (UAV) has been widely deployed in efficient data collection for
Internet of Things (IoT) networks. Information freshness in data collection can be …
Internet of Things (IoT) networks. Information freshness in data collection can be …
RIS-assisted UAV for timely data collection in IoT networks
Intelligent transportation systems are thriving thanks to a wide range of technological
advances, namely 5G communications, the Internet of Things (IoT), artificial intelligence, and …
advances, namely 5G communications, the Internet of Things (IoT), artificial intelligence, and …
Deep reinforcement learning for fresh data collection in UAV-assisted IoT networks
Due to the flexibility and low operational cost, dispatching unmanned aerial vehicles (UAVs)
to collect information from distributed sensors is expected to be a promising solution in …
to collect information from distributed sensors is expected to be a promising solution in …
Joint speed control and energy replenishment optimization for UAV-assisted IoT data collection with deep reinforcement transfer learning
Unmanned-aerial-vehicle (UAV)-assisted data collection has been emerging as a prominent
application due to its flexibility, mobility, and low operational cost. However, under the …
application due to its flexibility, mobility, and low operational cost. However, under the …
Joint cluster head selection and trajectory planning in UAV-aided IoT networks by reinforcement learning with sequential model
Employing unmanned aerial vehicles (UAVs) has attracted growing interests and emerged
as the state-of-the-art technology for data collection in Internet of Things (IoT) networks. In …
as the state-of-the-art technology for data collection in Internet of Things (IoT) networks. In …
Trajectory design for UAV-based Internet of Things data collection: A deep reinforcement learning approach
In this article, we investigate an unmanned aerial vehicle (UAV)-assisted Internet of Things
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
Age-based path planning and data acquisition in UAV-assisted IoT networks
To support emerging networked monitoring and data analytics applications, timely delivery
of fresh information is of critical importance for unmanned aerial vehicle (UAV) assisted data …
of fresh information is of critical importance for unmanned aerial vehicle (UAV) assisted data …
Fresh data collection for UAV-assisted IoT based on aerial collaborative relay
X Huang, X Fu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Low-latency data delivery in sparse deployment scenarios is a challenging problem. The
emergence of unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) provides a …
emergence of unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) provides a …
Multi-UAV path learning for age and power optimization in IoT with UAV battery recharge
E Eldeeb, JM de Souza Sant'Ana… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In many emerging Internet of Things (IoT) applications, the freshness of the is an important
design criterion. Age of Information (AoI) quantifies the freshness of the received information …
design criterion. Age of Information (AoI) quantifies the freshness of the received information …