Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
The drone scheduling problem: A systematic state-of-the-art review
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …
initially deployed for military purposes, they now have a wide array of applications in various …
Distributed multi-agent meta learning for trajectory design in wireless drone networks
In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …
operating in dynamic wireless network environments is studied. In the considered model, a …
UAV trajectory planning for AoI-minimal data collection in UAV-aided IoT networks by transformer
Maintaining freshness of data collection in Internet-of-Things (IoT) networks has attracted
increasing attention. By taking into account age-of-information (AoI), we investigate the …
increasing attention. By taking into account age-of-information (AoI), we investigate the …
Online altitude control and scheduling policy for minimizing AoI in UAV-assisted IoT wireless networks
This article considers unmanned aerial vehicle (UAV) assisted Internet of Things (IoT)
networks, where low resource IoT devices periodically sample a stochastic process and …
networks, where low resource IoT devices periodically sample a stochastic process and …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
RIS-assisted UAV for fresh data collection in 3D urban environments: A deep reinforcement learning approach
X Fan, M Liu, Y Chen, S Sun, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dispatching flexible unmanned aerial vehicles (UAVs) to collect data from distributed
Internet-of-Things devices (IoTDs) is expected to be a promising technology to support time …
Internet-of-Things devices (IoTDs) is expected to be a promising technology to support time …
Age of Information minimization in UAV-aided data collection for WSN and IoT applications: A systematic review
The use of unmanned aerial vehicles (UAVs) for data gathering in wireless sensor networks
(WSNs) and Internet of Things (IoT) applications has significantly gained interest in recent …
(WSNs) and Internet of Things (IoT) applications has significantly gained interest in recent …
Cooperative trajectory design of multiple UAV base stations with heterogeneous graph neural networks
Unmanned aerial vehicles as base stations (UAV-BSs) are recognized as effective means
for tackling eruptive communication service requirements especially when terrestrial …
for tackling eruptive communication service requirements especially when terrestrial …
Age of information and performance analysis for UAV-aided IoT systems
In the Internet of Things (IoT), numerous IoT devices are deployed for environment sensing,
information collecting, and data transmitting to enable different operations, including patrol …
information collecting, and data transmitting to enable different operations, including patrol …