Network traffic prediction in industrial Internet of Things backbone networks: A multitask learning mechanism
Industrial Internet of Things (IIoT), as a common industrial application of Internet of Things,
has been widely deployed in recent years. End-to-end network traffic is an essential …
has been widely deployed in recent years. End-to-end network traffic is an essential …
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 …
Time-varying-aware network traffic prediction via deep learning in IIoT
With the rise of the Industrial Internet of Things (IIoT), more and more industrial devices can
be connected via the network. Data collection, processing, analysis, task execution, and …
be connected via the network. Data collection, processing, analysis, task execution, and …
A reinforcement learning-based network traffic prediction mechanism in intelligent internet of things
Intelligent Internet of Things (IIoT) is comprised of various wireless and wired networks for
industrial applications, which makes it complex and heterogeneous. The openness of IIoT …
industrial applications, which makes it complex and heterogeneous. The openness of IIoT …
[HTML][HTML] Network traffic prediction incorporating prior knowledge for an intelligent network
C Pan, Y Wang, H Shi, J Shi, R Cai - Sensors, 2022 - mdpi.com
Network traffic prediction is an important tool for the management and control of IoT, and
timely and accurate traffic prediction models play a crucial role in improving the IoT service …
timely and accurate traffic prediction models play a crucial role in improving the IoT service …
Deep learning for IoT traffic prediction based on edge computing
AR Abdellah, V Artem, A Muthanna… - … , DCCN 2020, Moscow …, 2020 - Springer
The 5G network is the latest wireless mobile communication technology. Nowadays, the
emerging of many network applications has led to a massive amount of network traffic. Many …
emerging of many network applications has led to a massive amount of network traffic. Many …
Deep learning with long short-term memory for iot traffic prediction
AR Abdellah, A Koucheryavy - Internet of Things, Smart Spaces, and Next …, 2020 - Springer
Abstract 5G network is new wireless mobile communication technology beyond 4G
networks. These days, many network applications have been emerged and have led to an …
networks. These days, many network applications have been emerged and have led to an …
Spatial-temporal chebyshev graph neural network for traffic flow prediction in iot-based its
As one of the most widely used applications of the Internet of Things (IoT), intelligent
transportation system (ITS) is of great significance for urban traffic planning, traffic control …
transportation system (ITS) is of great significance for urban traffic planning, traffic control …
Multiscale network traffic prediction method based on deep echo-state network for internet of things
As a typical Internet of Things application, network traffic prediction (NTP) plays a decisive
role in congestion control, resource allocation, and anomaly detection. The trend of network …
role in congestion control, resource allocation, and anomaly detection. The trend of network …
LNTP: An end-to-end online prediction model for network traffic
L Zhang, H Zhang, Q Tang, P Dong, Z Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …
design and management. Meanwhile, accurate network traffic prediction is of critical …