Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions

M Dai, N Huang, Y Wu, J Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …

Review on unmanned aerial vehicle assisted sensor node localization in wireless networks: soft computing approaches

V Annepu, DR Sona, CV Ravikumar, K Bagadi… - IEEE …, 2022 - ieeexplore.ieee.org
Node positioning or localization is a critical requisite for numerous position-based
applications of wireless sensor network (WSN). Localization using the unmanned aerial …

Task-oriented communication design in cyber-physical systems: A survey on theory and applications

A Mostaani, TX Vu, SK Sharma, VD Nguyen… - IEEE …, 2022 - ieeexplore.ieee.org
Communication system design has been traditionally guided by task-agnostic principles,
which aim at efficiently transmitting as many correct bits as possible through a given …

Opportunistic uav deployment for intelligent on-demand iov service management

H Sami, R Saado, A El Saoudi… - … on Network and …, 2023 - ieeexplore.ieee.org
Due to the current improvement in self-driving cars and the extensive focus and research on
the topic of the Internet of Vehicles (IoV), the near future may behold a great revolution in the …

QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization

K Wu, X Cao, P Yang, Z Yu, DO Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning

T Wang, X Huang, Y Wu, L Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) enables the distributed machine learning (ML) without violating the
privacy of local users. In the scenario wireless FL, it is challenging for some local clients to …

On-Demand Multiplexing of eMBB/URLLC Traffic in a Multi-UAV Relay Network

M Tian, C Li, Y Hui, N Cheng, W Yue… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) relay networks with flexible and controllable characteristics
are expected to complement the capacity of the gNB. This paper studies the multiplexing of …

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach

X Huang, C Peng, Y Wu, J Kang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
To provide a dependency-aware application, multiple unmanned aerial vehicles (UAVs) are
employed to serve a ground user with a set of interdependent tasks. This leads to a new …

Placing timely refreshing services at the network edge

X Li, S Zhang, H Luo, X Ma, J He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Accommodating services at the network edge is favorable for time-sensitive applications.
However, maintaining service usability is resource consuming in terms of pulling service …

A Deep Reinforcement Learning Algorithm for Trajectory Planning of Swarm UAV Fulfilling Wildfire Reconnaissance

K Demir, V Tumen, S Kosunalp, T Iliev - Electronics, 2024 - mdpi.com
Wildfires have long been one of the critical environmental disasters that require a careful
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …