AI for UAV-assisted IoT applications: A comprehensive review
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Aerial computing: A new computing paradigm, applications, and challenges
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …
emerging applications and practical scenarios are mostly unavailable or only partially …
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 …
DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and
efficient method that is widely studied. In most studies, they assume that the UAVs can …
efficient method that is widely studied. In most studies, they assume that the UAVs can …
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 …
Learning aided joint sensor activation and mobile charging vehicle scheduling for energy-efficient WRSN-based industrial IoT
In this paper, the joint sensor activation and mobile charging vehicle scheduling for wireless
rechargeable sensor network (WRSN) based industrial Internet of Things (IIoT) is studied. In …
rechargeable sensor network (WRSN) based industrial Internet of Things (IIoT) is studied. In …
Joint trajectory plan and resource allocation for UAV-enabled C-NOMA in air-ground integrated 6 G heterogeneous network
Leveraging unmanned aerial vehicles (UAVs) for access and high altitude platform stations
(HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN), is a …
(HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN), is a …
An obstacle avoidance approach for UAV path planning
The recent pandemic of COVID-19 has proven to be a test case for Unmanned Aerial
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Joint Optimization Risk Factor and Energy Consumption in IoT Networks With TinyML-Enabled Internet of UAVs
The high mobility of Internet of Unmanned Aerial Vehicles (IUAVs) has attracted attention in
the field of data collection. With the rapid development of the Internet of Things (IoT), more …
the field of data collection. With the rapid development of the Internet of Things (IoT), more …