Joint energy and completion time difference minimization for UAV-enabled intelligent transportation systems: A constrained multi-objective optimization approach

C Peng, Z Wu, X Huang, Y Wu, J Kang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV)-enabled intelligent transportation system utilizes a set of
UAVs to collect and process surveillance data for transportation management …

Adaptive Multi-Layered Non-Terrestrial Network with Integrated FSO and RF Communications for Enhanced Global Connectivity

OWB Jnr, OC Agomuo… - 2024 IEEE/ACIS 27th …, 2024 - ieeexplore.ieee.org
This paper introduces the Adaptive Multi-Layered Non-Terrestrial Network (AMLT-NTN), an
architecture that integrates satellite, High Altitude Platform Stations (HAPS), and Unmanned …

Equalizing service probability in UAV-assisted wireless powered mmWave networks for post-disaster rescue

N **, J Gui, X Zhou - Computer Networks, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) are widely used in the areas where ground network
infrastructure is inadequate (or crippled by accidents and disasters) to provide services for …

A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization

L Zhao, S Li, Z Tan, A Hawbani… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing
terrestrial mobile computing in the dynamic environment. In this research field, throughput …

A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption

Q Tang, C Liu, L Li, S He, J Wang - Pervasive and Mobile Computing, 2023 - Elsevier
In this paper, a cooperative MEC system with multi-UAV and a ground access point (AP) is
considered, in which UAVs can act as both a computing platform to help Internet of Things …

An RSU-crossed dependent task offloading scheme for vehicular edge computing based on deep reinforcement learning

X Bi, J Shi, B Zhang, Z Lyu… - International Journal of …, 2023 - inderscienceonline.com
Various interdependent and computationally intensive on-vehicle tasks have posed great
pressure on the computing power of vehicles. Vehicular edge computing (VEC) is …

Partial offloading in device-to-device-assisted MEC network: A utility optimization approach

R Zhang, J Zhang, W Shi - Computer Communications, 2023 - Elsevier
In order to meet the growing demand for faster and more efficient communication and
computing in internet of things networks, the device-to-device (D2D)-assisted multi-access …

Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments

C Tao, L Bowen - Drones, 2024 - search.proquest.com
In order to improve the network performance of multi-unmanned ground vehicle (UGV)
systems in urban environments, this article proposes a novel online autonomous motion …

A beacon-less relay-node selection method for 3-D scenarios in Internet of Vehicle

D Cao, D Li, O Alfarraj, A Tolba… - Journal of Internet …, 2022 - jit.ndhu.edu.tw
Abstract Internet of Vehicles (IoV) presents a multilevel feature when vehicles move in
multilevel scenarios, such as interchange. Wireless channels and node distribution in 3-D …