Aoi-aware partial computation offloading in iiot with edge computing: A deep reinforcement learning based approach

K Peng, P Xiao, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid growth of the Industrial Internet of Things, a large amount of industrial data
that needs to be processed promptly. Edge computing-based computation offloading can …

A dueling dqn-based computational offloading method in mec-enabled iiot network

CK Hsu - The Computer Journal, 2023 - academic.oup.com
Abstract Industrial Internet of Things (IIoT) is a promising mechanism of Industry 4.0. Mobile
edge computing (MEC) is an emerging mechanism that is an enabler for IoT applications …

A QoS-aware technique for computation offloading in IoT-edge platforms using a convolutional neural network and Markov decision process

A Heidari, MAJ Jamali, NJ Navimipour… - IT …, 2023 - ieeexplore.ieee.org
Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …

Computation offloading with multiple agents in edge-computing–supported IoT

S Shen, Y Han, X Wang, Y Wang - ACM Transactions on Sensor …, 2019 - dl.acm.org
With the development of the Internet of Things (IoT) and the birth of various new IoT devices,
the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can …

Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things

J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …

Energy-efficient collaborative task computation offloading in cloud-assisted edge computing for IoT sensors

F Liu, Z Huang, L Wang - Sensors, 2019 - mdpi.com
As an emerging and promising computing paradigm in the Internet of things (IoT), edge
computing can significantly reduce energy consumption and enhance computation …

Deep reinforcement learning cloud-edge-terminal computation resource allocation mechanism for IoT

X Shu, L Wu, X Qin, R Yang, Y Wu, D Wang… - The 10th International …, 2021 - Springer
With the development of Internet of Things (IoT), the types and the volume of IoT services
have been increasing rapidly. Mobile edge computing (MEC) and cloud computing has …

Dependency-aware and latency-optimal computation offloading for multi-user edge computing networks

C Shu, Z Zhao, Y Han, G Min - 2019 16th Annual IEEE …, 2019 - ieeexplore.ieee.org
With the various emerging innovative applications, the Internet-of-Things (IoT) systems are
expected to fulfill more computation-intensive and latency-sensitive sensing and …

Qoe-driven computation offloading: Performance analysis and adaptive method

Q Luo, W Shi, P Fan - 2021 13th International Conference on …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the concomitant computation-
intensive tasks, the surging demand for computation offloading can be expected. How to …

MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments

Z Zhang, N Wang, H Wu, C Tang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …