Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities

X Chen, Y Deng, H Ding, G Qu, H Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

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 …

Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment

H Xiang, M Zhang, C Jian - Cluster Computing, 2024 - Springer
In the harsh mobile edge computing (HMEC) environment, there are many dynamic changes
such as interference from noise, the impact of extreme environmental conditions, and the …

[HTML][HTML] Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey

T Baidya, A Nabi, S Moh - Sensors, 2024 - mdpi.com
Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has
emerged as a promising paradigm for providing computational support for Internet of Things …

Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks

Y Cang, M Chen, Y Pan, Z Yang, Y Hu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, the problem of joint user scheduling and computing resource allocation in
asynchronous mobile edge computing (MEC) networks is studied. In such networks, edge …

[HTML][HTML] Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments

E Baccarelli, M Scarpiniti, A Momenzadeh - Vehicular Communications, 2024 - Elsevier
In this paper, we consider a Software Defined Networking (SDN)/Network Function
Virtualized (NFV) networked computing system, which is composed of a serving Rotary Wing …

Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System

L Dong, F Jiang, M Wang, Y Peng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV)-assisted mobile
edge computing (MEC) system is widely used in temporary and emergency scenarios. Our …

Aerial IRSs Assisted Energy-Efficient Task Offloading and Computing

W Jiang, B Ai, M Li, W Wu, Y Pei… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Timely and energy-efficient task offloading and computing can be challenging in mobile
edge computing (MEC) networks when the communication links between devices and edge …

Cache-Assisted Mobile Edge Computing Over Space-Air-Ground Integrated Networks for Extended Reality Applications

S Yoo, S Jeong, J Kim, J Kang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Extended reality-enabled Internet of Things (XRI) provides new user experiences and a
sense of immersion by adding virtual elements to the real world through Internet of Things …

Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing

Y Zhang, Y Gong, Y Guo - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely utilized to expand wireless network
coverage and provide computation service for Internet-of-Things (IoT) devices in signal …