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 …
Scalable and cooperative deep reinforcement learning approaches for multi-UAV systems: A systematic review
In recent years, the use of multiple unmanned aerial vehicles (UAVs) in various applications
has progressively increased thanks to advancements in multi-agent system technology …
has progressively increased thanks to advancements in multi-agent system technology …
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 …
Unmanned aerial vehicles for air pollution monitoring: A survey
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …
for increasing the spatial and temporal resolution of air quality data, searching and detecting …
Age of information in internet of things: A survey
In recent years, the increasing demand to see the status of objects over the Internet leads to
an increase in the number of Internet of Things (IoT) applications. The unique nature of IoT …
an increase in the number of Internet of Things (IoT) applications. The unique nature of IoT …
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 …
Synchronizing UAV teams for timely data collection and energy transfer by deep reinforcement learning
Due to their promising applications and intriguing characteristics, Unmanned Aerial Vehicles
(UAVs) can be dispatched as flying base stations to serve multiple energy-constrained …
(UAVs) can be dispatched as flying base stations to serve multiple energy-constrained …
RIS-assisted UAV for fresh data collection in 3D urban environments: A deep reinforcement learning approach
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 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 …
Neural combinatorial deep reinforcement learning for age-optimal joint trajectory and scheduling design in UAV-assisted networks
In this article, an unmanned aerial vehicle (UAV)-assisted wireless network is considered in
which a battery-constrained UAV is assumed to move towards energy-constrained ground …
which a battery-constrained UAV is assumed to move towards energy-constrained ground …