A survey on cybersecurity attacks and defenses for unmanned aerial systems
In recent years, unmanned aerial systems (UAS) have been widely used in both military and
civilian fields. However, their open-source software and protocols have made their security …
civilian fields. However, their open-source software and protocols have made their security …
A Holistic Survey of UAV-Assisted Wireless Communications in the Transition from 5G to 6G: State-of-the-Art Intertwined Innovations, Challenges, and Opportunities
Due to the rapid progress in communication technologies, unmanned aerial vehicles (UAVs)
have become increasingly capable of providing reliable and cost-effective wireless …
have become increasingly capable of providing reliable and cost-effective wireless …
Qoe-driven video transmission: Energy-efficient multi-uav network optimization
This article is concerned with the issue of improving video subscribers' quality of experience
(QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing …
(QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing …
Maximizing age-energy efficiency in wireless powered industrial ioe networks: A dual-layer dqn-based approach
This paper investigates the age of information (AoI) and energy efficiency of wireless
powered industrial Internet of Everything (IIoE) network, where multiple low-power IIoE …
powered industrial Internet of Everything (IIoE) network, where multiple low-power IIoE …
Caching placement optimization in UAV-assisted cellular networks: A deep reinforcement learning-based framework
Capable of delivering contents offloaded from the base station (BS) to users, unmanned
aerial vehicle (UAV) has emerged as a crucial leverage to compensate for terrestrial BSs …
aerial vehicle (UAV) has emerged as a crucial leverage to compensate for terrestrial BSs …
Standoff Target Tracking for Networked UAVs With Specified Performance Via Deep Reinforcement Learning
Maintaining rapid and prolonged standoff target tracking for networked unmanned aerial
vehicles (UAVs) is challenging, as existing methods fail to improve tracking performance …
vehicles (UAVs) is challenging, as existing methods fail to improve tracking performance …
Federated learning in UAV-enhanced networks: Joint coverage and convergence time optimization
Federated learning (FL) involves several devices that collaboratively train a shared model
without transferring their local data. FL reduces the communication overhead, making it a …
without transferring their local data. FL reduces the communication overhead, making it a …
A survey on unmanned aerial systems cybersecurity
N Bai, X Hu, S Wang - Journal of Systems Architecture, 2024 - Elsevier
Unmanned aerial systems (UASs) have recently seen widespread use in both military and
civilian applications due to their flexibility and versatility. As embedded systems integrating …
civilian applications due to their flexibility and versatility. As embedded systems integrating …
A Novel Sustainable AIoT Scheme for UAV-Assisted Communication Enabled by Radar Point Clouds and Moving Interaction Station
L Chen, K Liu, B Li, Q Yang, Q Gao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are increasingly utilized in smart city applications, such
as artificial intelligence of things (AIoT) systems due to their agility, low cost, and …
as artificial intelligence of things (AIoT) systems due to their agility, low cost, and …
QoE-Driven UAV Video Transmission in a Multi-UAV Network
K Wu, P Yang, X Cao, Z Yu - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
This paper is concerned with the issue of improving video subscribers' quality of experience
(QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing …
(QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing …