Fresh data collection for UAV-assisted IoTs based on aerial collaborative relay

X Huang, X Fu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Low-latency data delivery in sparse deployment scenarios is a challenging problem. The
emergence of unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) provides a …

Robust multi-agent reinforcement learning method based on adversarial domain randomization for real-world dual-uav cooperation

S Chen, G Liu, Z Zhou, K Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A control system of multiple unmanned aerial vehicles (multi-UAV) is generally very complex
when they complete a task in a closely-cooperative manner, eg two UAVs cooperatively …

Live traffic video multicasting services in uavs-assisted intelligent transport systems: A multi-actor attention critic approach

F Fu, B Xue, L Cai, LT Yang, Z Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Live traffic video is vitally important for vehicles in future intelligent transport systems (ITSs).
Due to the limitation of onboard sensors, vehicles may not be able to obtain a full view of the …

QoS-guaranteed multi-UAV coverage scheme for IoT communications with interference management

R Chen, W Cheng, Y Ding… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Due to maneuverability and Line-of-Sight (LoS) path, unmanned aerial vehicle (UAV) can
serve as aerial base station to provide communication coverage and data collection for …

PSO-based sparse source location in large-scale environments with a uav swarm

J Zhang, Y Lu, Y Wu, C Wang, D Zang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Locating multiple sources in an unknown environment based on their signal strength is
called a multi-source location problem. In recent years, there has been great interest in …

Resource Scheduling for UAVs-aided D2D Networks: A Multi-objective Optimization Approach

H Pan, Y Liu, G Sun, P Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs)-aided device-to-device (D2D) networks have attracted
great interests with the development of 5G/6G communications, while there are several …

Joint Optimization of Deployment and Flight Planning of Multi-UAVs for Long-distance Data Collection from Large-scale IoT Devices

Y Zhang, Y Huang, C Huang, H Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) devices have been widely deployed to build smart cities. How to
efficiently collect data from large-scale IoT devices is a valuable and challenging research …

Cooperative deployment multi-objective optimization approach for high-resolution multi-airship earth-observation coverage network

Y Jing, Z Yang, P Zhou, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Asa platform for Near space-based Earth-observation network, stratospheric airship has
attracted a lot of attention in recent years, because of its advantages in endurance …

Community-based dandelion algorithm-enabled feature selection and broad learning system for traffic flow prediction

X Liu, X Qin, MC Zhou, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …

[HTML][HTML] Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism

M Abdel-Basset, R Mohamed, I Alrashdi… - Expert Systems with …, 2024 - Elsevier
In recent years, unmanned aerial vehicles (UAVs) have been broadly employed as a data
collection platform to assist in efficiently collecting data from IoT devices. However, the …