Federated learning-based computation offloading optimization in edge computing-supported internet of things
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
Computation offloading with multiple agents in edge-computing–supported IoT
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 …
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 …
the network edge. However, most existing computation offloading strategies consider only …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
AI-enhanced offloading in edge computing: When machine learning meets industrial IoT
W Sun, J Liu, Y Yue - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent industrial operations by
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
Deep-graph-based reinforcement learning for joint cruise control and task offloading for aerial edge Internet of Things (EdgeIoT)
This article puts forth an aerial edge Internet of Things (EdgeIoT) system, where an
unmanned aerial vehicle (UAV) is employed as a mobile-edge server to process mission …
unmanned aerial vehicle (UAV) is employed as a mobile-edge server to process mission …
Deep reinforcement learning based mobile edge computing for intelligent Internet of Things
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …
of things (IoT), where multiple users have some computational tasks assisted by multiple …
Distributed edge computing offloading algorithm based on deep reinforcement learning
Y Li, F Qi, Z Wang, X Yu, S Shao - IEEE Access, 2020 - ieeexplore.ieee.org
As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …
D3PG: Dirichlet DDPG for task partitioning and offloading with constrained hybrid action space in mobile-edge computing
Mobile-edge computing (MEC) has been regarded as a promising paradigm to reduce
service latency for data processing in the Internet of Things (IoT) by provisioning computing …
service latency for data processing in the Internet of Things (IoT) by provisioning computing …