Deep reinforcement learning for load-balancing aware network control in IoT edge systems
Load balancing is directly associated with the overall performance of a parallel and
distributed computing system. Although the relevant problems in communication and …
distributed computing system. Although the relevant problems in communication and …
Deep reinforcement learning for IoT network dynamic clustering in edge computing
Processing big data generated in large Internet of Things (IoT) networks is challenging
current techniques. To date, a lot of network clustering approaches have been proposed to …
current techniques. To date, a lot of network clustering approaches have been proposed to …
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 …
A load balancing scheme based on deep-learning in IoT
HY Kim, JM Kim - Cluster Computing, 2017 - Springer
Extending the current Internet with interconnected objects and devices and their virtual
representation has been a growing trend in recent years. The Internet of Things (IoT) …
representation has been a growing trend in recent years. The Internet of Things (IoT) …
A reinforcement learning-empowered feedback control system for industrial internet of things
The rapid development of the Industrial Internet of Things (IIoT) enables IIoT devices to
offload their computation-intensive tasks to nearby edges via wireless base stations and …
offload their computation-intensive tasks to nearby edges via wireless base stations and …
Deep reinforcement learning for scheduling in an edge computing‐based industrial internet of things
J Wu, G Zhang, J Nie, Y Peng… - … and Mobile Computing, 2021 - Wiley Online Library
The demand for improving productivity in manufacturing systems makes the industrial
Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …
Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …
Deep reinforcement learning for load balancing of edge servers in iov
In recent years, the use of edge computing to solve the problem of limited resources in the
IoV has attracted more and more attention. Vehicles can upload tasks to the edge servers …
IoV has attracted more and more attention. Vehicles can upload tasks to the edge servers …
Container-based load balancing for energy efficiency in software-defined edge computing environment
The workload generated by the Internet of Things (IoT)-based infrastructure is often handled
by the cloud data centers (DCs). However, in recent time, an exponential increase in the …
by the cloud data centers (DCs). However, in recent time, an exponential increase in the …
Resource allocation based on deep reinforcement learning in IoT edge computing
By leveraging mobile edge computing (MEC), a huge amount of data generated by Internet
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
Intelligent IoT connectivity: Deep reinforcement learning approach
In this paper, we propose a distributed solution to design a multi-hop ad hoc Internet of
Things (IoT) network where mobile IoT devices strategically determine their wireless …
Things (IoT) network where mobile IoT devices strategically determine their wireless …