A green hybrid congestion management scheme for IoT-enabled WSNs

G Kaur, P Chanak… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the modern era, the Internet of Things (IoT) plays a vital role in connecting physical
objects to the Internet. Therefore, an IoT technology can monitor and control any physical …

[PDF][PDF] Implementation of fault detection framework for healthcare monitoring system using IoT, sensors in wireless environment

DKP Pardeshi - Telematique, 2022 - researchgate.net
Recent technological development has paved the path for various industries to explore and
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …

A semisupervised method with swarm intelligence optimization for intelligent fault diagnosis

Z Xu, Z Feng, Q Wu, S Yang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the recent development of deep learning, machine-learning-based methods have
gained promising achievements for fault diagnosis. However, most of these methods are …

An Intelligent Edge Diagnosis System Based on Multiplication-Convolution Sparse Network

Q Wu, X Ding, Q Zhang, R Liu, S Wu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Real-time fault diagnosis of equipment is an important means to avoid major safety
accidents. The increase of equipment, which needs to be monitored, creates a burden of …

[HTML][HTML] A quasi-affine transformation evolutionary algorithm enhanced by hybrid Taguchi strategy and its application in fault detection of wireless sensor network

JS Pan, RY Wang, SC Chu, KK Tseng, F Fan - Symmetry, 2023 - mdpi.com
A quasi-affine transformation evolutionary algorithm improved by the Taguchi strategy, levy
flight and the restart mechanism (TLR-QUATRE) is proposed in this paper. This algorithm …

Intelligent Fault Diagnosis for AIT based Smart Farming Applications

G Kaur, M Bhattacharya - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In today's era, the artificial intelligence of things (AIT) has revolutionized every sphere of
human life. Artificial intelligence (AI) approaches can effectively manage the heterogeneity …

SNRepair: systematically addressing sensor faults and self-calibration in IoT networks

A Sinha, D Das - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
An accurate and robust technique for sensor fault diagnosis proves useful for an
uninterrupted supply of correct monitoring data across the Internet-of-Things (IoT) network …

Friendship Degree and Tenth Man Strategy: A New Method for Differentiating Between Erroneous Readings and True Events in Wireless Sensor Networks

GH Adday, SK Subramaniam, ZA Zukarnain… - IEEE …, 2023 - ieeexplore.ieee.org
Event-driven Wireless Sensor Networks (WSNs) consist of thousands of tiny nodes. Sensor
nodes are prone to faults because of their fragility and the fact that they are typically placed …

[PDF][PDF] Billiards Optimization with Modified Deep Learning for Fault Detection in Wireless Sensor Network.

YS Jghef, MJM Jasim, SRM Zeebaree… - … Systems Science & …, 2023 - cdn.techscience.cn
Wireless Sensor Networks (WSNs) gather data in physical environments, which is some
type. These ubiquitous sensors face several challenges responsible for corrupting them …

Algorithms for Fault Detection and Diagnosis in Wireless Sensor Networks Using Deep Learning and Machine Learning-An Overview

P Iswarya, K Manikandan - 2024 10th International Conference …, 2024 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) with wireless sensor networks (WSN) has created
several possibilities, making it a highly discussed topic in the technological realm and holds …