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 …
Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges
Wireless networks have been in focus since the last few decades due to their indispensable
role in the future generation networks like the Internet of Things (IoT). However, the …
role in the future generation networks like the Internet of Things (IoT). However, the …
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 multitask learning-based network traffic prediction approach for SDN-enabled industrial Internet of Things
With the rapid advance of industrial Internet of Things (IIoT), to provide flexible access for
various infrastructures and applications, software-defined networks (SDNs) have been …
various infrastructures and applications, software-defined networks (SDNs) have been …
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 …
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 …
Design of deep learning model for radio resource allocation in 5G for massive iot device
With recent advancements in Internet of Things (IoT) communications, the demand for fastest
communication is an utmost concern of the IoT technology. The advent of 5G …
communication is an utmost concern of the IoT technology. The advent of 5G …