Improving next-generation wireless network performance and reliability with deep learning
FB Mismar - 2020 - repositories.lib.utexas.edu
A rudimentary question whether machine learning in general, or deep learning in particular,
could add to the well-established field of wireless communications, which has been evolving …
could add to the well-established field of wireless communications, which has been evolving …
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
Predicting the behavior of a wireless link in terms of, eg, the frame delivery ratio, is a critical
task for optimizing the performance of wireless industrial communication systems. This is …
task for optimizing the performance of wireless industrial communication systems. This is …
Link prediction based on spectral analysis
C Gui - Plos one, 2024 - journals.plos.org
Link prediction in complex network is an important issue in network science. Recently,
various structure-based similarity methods have been proposed. Most of algorithms are …
various structure-based similarity methods have been proposed. Most of algorithms are …
Performances prediction in Wireless Sensor Networks: A survey on Deep learning based-approaches
Y Eljakani, A Boulouz, M ben Salah… - ITM Web of …, 2022 - itm-conferences.org
The dynamism and successive changes in the distribution of nodes are among the important
characteristics of wireless sensor networks (WSNs). To adapt with those changes, network …
characteristics of wireless sensor networks (WSNs). To adapt with those changes, network …
Asymmetry-aware link layer services in wireless sensor networks
Recent studies in wireless sensor networks (WSNs) have observed that the irregular link
quality is a common phenomenon, rather than an anomaly. The irregular link quality …
quality is a common phenomenon, rather than an anomaly. The irregular link quality …
Link quality estimation for adaptive data streaming in WSN
T Jayasri, M Hemalatha - Wireless Personal Communications, 2017 - Springer
In an industrial environment, reliable data transmission between wireless sensor nodes is a
challenging factor, because the link quality is constantly degraded by industrial EM noise …
challenging factor, because the link quality is constantly degraded by industrial EM noise …
Demo Abstract: RadiaLE: a framework for benchmarking link quality estimators
Link quality estimation is a fundamental building block for the design of several different
mechanisms and protocols in wireless sensor networks (WSN). A thorough experimental …
mechanisms and protocols in wireless sensor networks (WSN). A thorough experimental …
Network fault prediction based on CNN-LSTM hybrid neural network
Z Tan, P Pan - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The network brings convenience and efficiency to people's life and work, and at the same
time, the network will also cause loss to human beings because of failures, so it is …
time, the network will also cause loss to human beings because of failures, so it is …
A testbed for the evaluation of link quality estimators in wireless sensor networks
Link quality estimation is a fundamental building block for the design of several different
mechanisms and protocols in wireless sensor networks. The accuracy of link quality …
mechanisms and protocols in wireless sensor networks. The accuracy of link quality …