[HTML][HTML] UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey
X Yan, T Fu, H Lin, F Xuan, Y Huang, Y Cao, H Hu… - Applied Sciences, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …
domains, but their proliferation also raises concerns about security, public safety, and …
Fundamental design aspects of UAV-enabled MEC systems: A review on models, challenges, and future opportunities
MH Adnan, ZA Zukarnain, OA Amodu - Computer Science Review, 2024 - Elsevier
The huge prospects of the internet of things (IoT) have led to an ever-growing demand for
computing power by IoT users to enable various applications. Multi-access edge computing …
computing power by IoT users to enable various applications. Multi-access edge computing …
BTV-CMAB: A Bi-directional Trust Verification Based Combinatorial Multi-Armed Bandit Scheme for Mobile Crowdsourcing
Mobile crowdsourcing (MCS) is an emerging paradigm that harnesses the collective power
of the crowd to tackle large-scale tasks. To ensure the high-quality worker selection, various …
of the crowd to tackle large-scale tasks. To ensure the high-quality worker selection, various …
DNN Partition and Offloading Strategy with Improved Particle Swarm Genetic Algorithm in VEC
C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …
satisfy the growing computation and communication needs of vehicle systems. With the …
MOIPC-MAAC: Communication-Assisted Multi-Objective MARL for Trajectory Planning and Task Offloading in Multi-UAV Assisted MEC
Z Gao, J Fu, Z Jing, Y Dai, L Yang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Existing joint trajectory planning and task offloading (JTPTO) methods provide ultra-low
latency services for mobile devices (MDs) in unmanned aerial vehicle (UAV)-assisted …
latency services for mobile devices (MDs) in unmanned aerial vehicle (UAV)-assisted …
Neural Network-Based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach
With the unprecedented scalability issues rising in vehicular edge computing (VEC), we
argue in this paper that the scalability, along with the remarkable growth of demands for …
argue in this paper that the scalability, along with the remarkable growth of demands for …
Pareto-Optimal Aerial-Ground Energy Minimization for Aerial 3D Mobile Edge Computing Networks
Unmanned aerial vehicles (UAVs) are a crucial integrated component in mobile edge
computing (MEC) for extending service coverage, where UAVs' and devices' energy …
computing (MEC) for extending service coverage, where UAVs' and devices' energy …
Stackelberg Game-Based Bandwidth Allocation and Resource Pricing for Multi-User in MEC System
With the rapid development of artificial intelligence, a substantial number of computing-
intensive applications have emerged in Internet of Things (IoT) devices. The mobile edge …
intensive applications have emerged in Internet of Things (IoT) devices. The mobile edge …
UAV-Assisted Mobile Edge Computing: Optimal Design of UAV Altitude and Task Offloading
This paper investigates a mobile edge computing (MEC) network assisted by an unmanned
aerial vehicle (UAV), where the moving UAV and a fixed ground base station cooperatively …
aerial vehicle (UAV), where the moving UAV and a fixed ground base station cooperatively …
Lyapunov-Based Joint Flight Trajectory and Computation Offloading Optimization for UAV-Assisted Vehicular Networks
In recent years, UAV-assisted mobile edge computing (MEC) has attracted significant
attention. However, it is still challenging to dispatch a UAV to accompany ground vehicles …
attention. However, it is still challenging to dispatch a UAV to accompany ground vehicles …