[HTML][HTML] Deep reinforcement learning for joint trajectory planning, transmission scheduling, and access control in UAV-assisted wireless sensor networks
Unmanned aerial vehicles (UAVs) can be used to relay sensing information and
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays
Unmanned aerial vehicle (UAV) network is a promising technology for assisting Internet-of-
Things (IoT), where a UAV can use its limited service coverage to harvest and disseminate …
Things (IoT), where a UAV can use its limited service coverage to harvest and disseminate …
GAN-powered heterogeneous multi-agent reinforcement learning for UAV-assisted task offloading
Y Li, L Feng, Y Yang, W Li - Ad Hoc Networks, 2024 - Elsevier
The flexible and highly mobile unmanned aerial vehicle (UAV) with computing capabilities
can improve the quality of experience (QoE) of ground users (GUs) according to real-time …
can improve the quality of experience (QoE) of ground users (GUs) according to real-time …
Cooperative Data Collection for UAV-Assisted Maritime IoT Based on Deep Reinforcement Learning
X Fu, X Huang, Q Pan, P Pace, G Aloi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In maritime data collection scenarios, achieving the rapid delivery of data from buoy sensor
nodes to the shipboard station is a challenging issue. Utilizing unmanned aerial vehicles …
nodes to the shipboard station is a challenging issue. Utilizing unmanned aerial vehicles …
Efficient Joint Deployment of Multi-UAVs for Target Tracking in Traffic Big Data
L Sun, J Wang, J Wang, L Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accidents are inevitable in the transportation systems; however, harnessing the big data
generated from traffic accidents can significantly enhance the intelligence of the …
generated from traffic accidents can significantly enhance the intelligence of the …
[HTML][HTML] Stepwise Soft Actor–Critic for UAV Autonomous Flight Control
Despite the growing demand for unmanned aerial vehicles (UAVs), the use of conventional
UAVs is limited, as most of them require being remotely operated by a person who is not …
UAVs is limited, as most of them require being remotely operated by a person who is not …
Availability of UAV fleet evaluation based on Multi-State System
E Zaitseva, V Levashenko, V Mysko, S Czapp… - IEEE …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) applications are extended extremely. Some applications
need to use several UAVs for a general mission which can be considered a UAV fleet. One …
need to use several UAVs for a general mission which can be considered a UAV fleet. One …
Evaluation and Enhancement of Resolution-aware Coverage Path Planning Method for Surface Inspection using Unmanned Aerial Vehicles
W Wu, Y Funabora, S Doki, K Doki, S Yoshikawa… - IEEE …, 2024 - ieeexplore.ieee.org
We implemented and evaluated our previous path planning method for inspection using
unmanned aerial vehicles (UAVs) in real-world, and identified its shortcomings in handling …
unmanned aerial vehicles (UAVs) in real-world, and identified its shortcomings in handling …
An Anti-Noise Feature Extraction and Improved Harris Hawks Optimization for On-Load Tap Changer Mechanical Fault Diagnosis
X Liang, Y Wang, H Gu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Traditional on-load tap changer (OLTC) mechanical fault diagnosis methods often focus on
vibration burst data in the diverter switch moving stage but neglect the entire vibration signal …
vibration burst data in the diverter switch moving stage but neglect the entire vibration signal …
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …