Machine learning algorithms and fault detection for improved belief function based decision fusion in wireless sensor networks
Decision fusion is used to fuse classification results and improve the classification accuracy
in order to reduce the consumption of energy and bandwidth demand for data transmission …
in order to reduce the consumption of energy and bandwidth demand for data transmission …
A review of ml based fault detection algorithms in wsns
SA Yadav, T Poongodi - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Wireless sensor network (WSN) is precisely outlined as a group of exclusively dedicated
spatially distributed sensors for recording and processing environmental data like …
spatially distributed sensors for recording and processing environmental data like …
Hybrid anomaly detection model on trusted IoT devices
Most machine learning proposals in the Internet of Things (IoT) are designed and evaluated
on preprocessed data sets, where data acquisition and cleaning steps are often considered …
on preprocessed data sets, where data acquisition and cleaning steps are often considered …
[HTML][HTML] Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions
Wireless sensor networks (WSNs) have become widely ubiquitous deployed in many
application domains over the past few decades. Classical approaches configure WSNs …
application domains over the past few decades. Classical approaches configure WSNs …
An energy aware intelligent fault detection scheme for IoT-enabled WSNs
Recent years have seen an explosion in the demand for the Internet of Things (IoT). IoT
makes any physical object smart by providing sensing capability. The physical objects are …
makes any physical object smart by providing sensing capability. The physical objects are …
Machine learning for IoT systems
A Khattab, N Youssry - Internet of Things (IoT) Concepts and Applications, 2020 - Springer
The rapid increase in the number of smart devices hosting sophisticated applications is
significantly affecting the landscape of the information com-munication technology industry …
significantly affecting the landscape of the information com-munication technology industry …
Lightweight fault detection strategy for wireless sensor networks based on trend correlation
In this work, we propose a fault detection strategy for wireless sensor networks (WSNs)
called Trend Correlation based Fault Detection strategy (TCFD). This strategy can detect the …
called Trend Correlation based Fault Detection strategy (TCFD). This strategy can detect the …
Fault-tolerant clustering topology evolution mechanism of wireless sensor networks
S Hu, G Li - IEEE Access, 2018 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are often subject to failures caused by energy depletion,
software or hardware fault of nodes, environmental events, hostile attacks, and other …
software or hardware fault of nodes, environmental events, hostile attacks, and other …
Analysis of fault classifiers to detect the faults and node failures in a wireless sensor network
S Gnanavel, M Sreekrishna, V Mani, G Kumaran… - Electronics, 2022 - mdpi.com
Technology evaluation in the electronics field leads to the great development of Wireless
Sensor Networks (WSN) for a variety of applications. The sensor nodes are deployed in …
Sensor Networks (WSN) for a variety of applications. The sensor nodes are deployed in …
Machine learning algorithms in WSNs and its applications
AR Raut, SP Khandait - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Wireless sensor network (WSN) the unique and utmost encouraging tools for monitoring the
real-time applications. It has been utilized in various areas particularly for offering real-time …
real-time applications. It has been utilized in various areas particularly for offering real-time …