An intelligent traffic load prediction-based adaptive channel assignment algorithm in SDN-IoT: A deep learning approach
Due to the fast increase of sensing data and quick response requirement in the Internet of
Things (IoT) delivery network, the high speed transmission has emerged as an important …
Things (IoT) delivery network, the high speed transmission has emerged as an important …
On a novel deep-learning-based intelligent partially overlapping channel assignment in SDN-IoT
Recently, SDN has emerged as a promising technology to cost-effectively provide the scale
and flexibility necessary for IoT services. In this article, we consider the wireless SDN for IoT …
and flexibility necessary for IoT services. In this article, we consider the wireless SDN for IoT …
Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
A GNN-based supervised learning framework for resource allocation in wireless IoT networks
The Internet of Things (IoT) allows physical devices to be connected over the wireless
networks. Although device-to-device (D2D) communication has emerged as a promising …
networks. Although device-to-device (D2D) communication has emerged as a promising …
Routing optimization for cloud services in SDN-based Internet of Things with TCAM capacity constraint
S Xu, X Wang, G Yang, J Ren… - … of Communications and …, 2020 - ieeexplore.ieee.org
Distributed in-network cloud architecture is a promising solution to efficiently host next
generation internet-of-things (IoT) services. With the rapid increase of IoT devices and …
generation internet-of-things (IoT) services. With the rapid increase of IoT devices and …
A deep reinforcement learning based approach for energy-efficient channel allocation in satellite Internet of Things
B Zhao, J Liu, Z Wei, I You - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, Satellite Internet of Things (SIoT), a space network that consists of numerous Low
Earth Orbit (LEO) satellites, is regarded as a promising technique since it is the only solution …
Earth Orbit (LEO) satellites, is regarded as a promising technique since it is the only solution …
An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
A deep-learning-based radio resource assignment technique for 5G ultra dense networks
Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …
promising potential to drive significant breakthroughs in a wide range of research areas. The …
Automatic device classification from network traffic streams of internet of things
With the widespread adoption of Internet of Things (IoT), billions of everyday objects are
being connected to the Internet. Effective management of these devices to support reliable …
being connected to the Internet. Effective management of these devices to support reliable …
Digital twin assisted resource allocation for network slicing in industry 4.0 and beyond using distributed deep reinforcement learning
L Tang, Y Du, Q Liu, J Li, S Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Personalization is one of the primary emerging trends in Industry 4.0 and Beyond. Highly
personalized services will present a significant challenge to the existing algorithms for …
personalized services will present a significant challenge to the existing algorithms for …