Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing

J Lin, S Huang, H Zhang, X Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …

Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information

Y Hao, Q Wang, T Ma, J Du, J Cao - Journal of Parallel and Distributed …, 2023 - Elsevier
Offloading tasks from edge devices to the cloud is an important method to enhance the
performance of the edge device. With the help of EH (Energy Harvesting) technology, the …

DNN Inference Acceleration for Smart Devices in Industry 5.0 By Decentralized Deep Reinforcement Learning

C Dong, M Shafiq, MM Al Dabel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the emergence of Industry 5.0, there has been a significant surge in the need for
intelligent services within the realm of smart devices. Currently, deep neural networks …

Natural Language-Based Human-Machine Collaborative Learning Games Algorithm Based on Deep Reinforcement Learning

L Na - IEEE Access, 2024 - ieeexplore.ieee.org
Human-machine collaborative game agents are usually in an open environment, and they
typically obtain behavioral information through environmental rewards. However, traditional …

Computing Offloading Decision Based on Adaptive Estimation of Distribution Algorithm in Internet of Vehicles

F Yu, M Chen, B Yu - … Journal of Cognitive Informatics and Natural …, 2022 - igi-global.com
Aimed to improve the efficiency of computing offloading in internet of vehicles (IoV), a
collaborative multi-task computing offloading decision mechanism with adaptive estimation …

Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles

Z Li, M Zhao, G Chen, C Zhang, T Wu… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Nowadays, task allocation has attracted increasing attention in the Internet of Vehicles. To
efficiently allocate tasks to suitable workers, users usually need to publish their task interests …

Vehicle-road cooperative task offloading with task migration in MEC-enabled IoV

J Du, L Wang, Y Lin, P Qian - International Conference on Wireless …, 2022 - Springer
Mobile edge computing (MEC) is considered as a key technology for addressing
computation-intensive and delay-critical applications in the Internet of vehicles (IoV). In MEC …

Designing a Deep Q-Learning Model with Edge-Level Training for Multi-Level Task Offloading in Edge Computing Networks

A Zendebudi, S Choudhury - Applied Sciences, 2022 - mdpi.com
Even though small portable devices are becoming increasingly more powerful in terms of
processing power and power efficiency, there are still workloads that require more …