Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT

G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …

Federated deep reinforcement learning for energy-efficient edge computing offloading and resource allocation in industrial internet

X Li, J Zhang, C Pan - Applied Sciences, 2023 - mdpi.com
Industrial Internet mobile edge computing (MEC) deploys edge servers near base stations to
bring computing resources to the edge of industrial networks to meet the energy-saving …

A task offloading algorithm for cloud-edge collaborative system based on Lyapunov optimization

J Gao, R Chang, Z Yang, Q Huang, Y Zhao, Y Wu - Cluster Computing, 2023 - Springer
Due to the limitation of computing resources and storage resources, mobile edge computing
cannot cope with the massive data generated by the Industrial Internet of Things (IIoT) …

Innovation Performance Prediction of University Student Teams Based on Bayesian Networks

X Zhang, J Liu, C Zhang, D Shao, Z Cai - Sustainability, 2023 - mdpi.com
Many studies have been conducted on the impact of dualistic learning, knowledge sharing,
member heterogeneity, and their influencing factors on team performance in enterprises …

Joint offloading and resource allocation with diverse battery level consideration in MEC system

Y Zhao, F Hou, B Lin, Y Sun - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
Most of existing works related to mobile edge computing (MEC) focused on the total energy
consumption or task completion time. However, for the applications with multiple players as …

Optimizing Task Completion Time in Disaster-Affected Regions with the WMDDPG-GSA Algorithm for UAV-Assisted MEC Systems

T Ma, Y Yang, H Xu, T Song - Processes, 2023 - mdpi.com
In this paper, we investigate a UAV-assisted Mobile Edge Computing (MEC) system that is
deployed with multiple UAVs to provide timely data processing services to disaster-stricken …

Wireless-powered UAV-assisted MEC: Joint resource allocation and trajectory optimization

Y Zhang, Z Na, H Ren, B Lin - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
With their versatility and flexibility, unmanned aerial vehicles (UAVs) have enormous
potential to enhance communication and computation services for terminal devices (TDs) in …

[PDF][PDF] 能量收集辅助的矿山物联网智能计算卸载方法

闵明慧, 张鹏, 朱浩鹏, 程志鹏, 马帅, 李世银, 肖亮… - 电子与信息学报, 2023 - jeit.ac.cn
针对计算, 能量和内存资源受限的矿山物联网设备和大量时延敏感型计算任务需求的智慧矿山
场景, 该文提出一种能量收集(EH) 辅助的矿山物联网智能计算卸载方法. 通过采用移动边缘计算 …

[PDF][PDF] Efficient Trust-Aware Authentication and Task Offloading in Multi-access Edge Computing Using a Dual Fuzzy Method based Zero Trust Security Framework

BA ALI - 2023 - researchrepository.rmit.edu.au
Multi-access Edge Computing (MEC) is a dynamic and rapidly evolving technological
solution that brings computational and storage capabilities closer to end-users at the …

A Hybrid Workflow Offloading Scheme Based on the IIOT

WJ Li, X Li, W Lu, QS Li, YB Zhang… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
With the rapid advancement of the new generation of the industrial revolution, the Industrial
Internet of Things (IIOT) has placed higher demands on multidimensional indicators such as …