Energy-Aware Dynamic Offloading over IoT-based Mobile Edge Networks

R Saxena, S Gupta - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In this research, we look at the challenge of scheduling jobs in a software-defined fog-IoT
network while keeping latency and energy consumption in mind. We suggest the potent …

Energy-aware task scheduling and offloading using deep reinforcement learning in SDN-enabled IoT network

B Sellami, A Hakiri, SB Yahia, P Berthou - Computer Networks, 2022 - Elsevier
Abstract The fifth-generation (5G) mobile network services have made tremendous growth in
the Internet of Things (IoT) network. A counters number of battery-powered IoT devices are …

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 hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

Energy and task completion time trade-off for task offloading in fog-enabled IoT networks

OK Shahryari, H Pedram, V Khajehvand… - Pervasive and Mobile …, 2021 - Elsevier
In order to improve the quality of experience in executing computation-intensive tasks of real-
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …

Online partial offloading and task scheduling in SDN-fog networks with deep recurrent reinforcement learning

J Baek, G Kaddoum - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Smart industries enabling automation and data exchange in manufacturing technologies
demanding real-time processing, nearby storage, and reliability, all of which can be satisfied …

Mobile-Aware Online Task Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing Networks

Y Li, Y Liu, X Liu, Q Tu, Y Xie - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is one of the key enabling technologies for future 6G
wireless networks that can provide lower latency service and more efficient resource …

Reinforcement learning for computational offloading in fog-based IoT systems: Applications, and open research issues

H Tran–Dang, DS Kim - 2022 RIVF International Conference on …, 2022 - ieeexplore.ieee.org
The fog computing has been widely integrated in the IoT-based systems allowing the fog
nodes to offload and process tasks requested from IoT-enabled devices in a distributed …

Multi‐layer task scheduling and resource allocation schemes considering idle resource and task priority in IoT networks

S Wang, W Guo, H Sun, J Ren, M Yan… - IET …, 2023 - Wiley Online Library
With more and more interconnected smart devices (ISDs) accessing the Internet of Things
(IoT), massive and diverse tasks need to be transformed and computed. Mobile edge …

Dynamic computation offloading with deep reinforcement learning in edge network

Y Bai, X Li, X Wu, Z Zhou - Applied Sciences, 2023 - mdpi.com
With the booming proliferation of user requests in the Internet of Things (IoT) network, Edge
Computing (EC) is emerging as a promising paradigm for the provision of flexible and …