Edge QoE: Computation offloading with deep reinforcement learning for Internet of Things
H Lu, X He, M Du, X Ruan, Y Sun… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …
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 …
A QoS-aware technique for computation offloading in IoT-edge platforms using a convolutional neural network and Markov decision process
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 …
the resource limitations of individual objects. Offering enough computational power for IoT …
Resource allocation with edge computing in IoT networks via machine learning
In this article, we investigate resource allocation with edge computing in Internet-of-Things
(IoT) networks via machine learning approaches. Edge computing is playing a promising …
(IoT) networks via machine learning approaches. Edge computing is playing a promising …
Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
computing (MEC) is a promising paradigm by providing computing capabilities in close …
[HTML][HTML] Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …
transmission delays and transmission energy consumption. To reduce the cost of resources …
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 …
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 …
Novel method of mobile edge computation offloading based on evolutionary game strategy for IoT devices
Y Cui, D Zhang, T Zhang, L Chen, M Piao… - AEU-International Journal …, 2020 - Elsevier
Due to the limited computing resources and energy of IoT devices, complex computing tasks
are offloaded to sufficient computing servers, such as Cloud Center. However, offloading …
are offloaded to sufficient computing servers, such as Cloud Center. However, offloading …
Intelligent delay-aware partial computing task offloading for multiuser industrial Internet of Things through edge computing
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
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