Recent advances and future prospects of using AI solutions for security, fault tolerance, and QoS challenges in WSNs

W Osamy, AM Khedr, A Salim, AA El-Sawy… - Electronics, 2022 - mdpi.com
The increasing relevance and significant acceptance of Wireless Sensor Network (WSN)
solutions have aided the creation of smart environments in a multitude of sectors, including …

Data rate aware reliable transmission mechanism in wireless sensor networks using Bayesian regularized neural network approach

M Pundir, JK Sandhu, D Gupta, TR Gadekallu… - Physical …, 2023 - Elsevier
Abstract Wireless Sensor Networks consists of interconnected nodes that exchange
information wirelessly enabling its deployment in innovative application areas. Network …

AI-assisted emergency healthcare using vehicular network and support vector machine

BR Senapati, PM Khilar, T Dash, RR Swain - Wireless Personal …, 2023 - Springer
The COVID-19 pandemic has created an emergency across the globe. The number of
corona positive and death cases is still rising worldwide. All countries' governments are …

Multiclass anomaly detection of bridge monitoring data with data migration between different bridges for balancing data

C Qu, H Zhang, R Zhang, S Zou, L Huang, H Li - Applied Sciences, 2023 - mdpi.com
Structural health inspection systems are widely used to manage and maintain infrastructure
that involves massive sensor devices. However, these sensors receive the natural …

A heterogeneous fault diagnosis approach to enhance performance of connected vehicles

B Ranjan Senapati, S Swain… - International Journal …, 2023 - Wiley Online Library
Evolution of wireless access technology, availability of smart sensors, and reduction in the
size of the set up of the communication system have engrossed many researchers toward …

Global Composite Compression of Deep Neural Network in Wireless Sensor Networks for Edge Intelligent Fault Diagnosis

L Huan, B Tang, C Zhao - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
To address the problem of large-scale complex deep neural network (DNN) models that
cannot be deployed at the edge of wireless sensor networks (WSNs) with limited storage …

[HTML][HTML] Intelligent design of sensor networks for data-driven sensor maintenance at railways

A Otto, C Tilk - Omega, 2024 - Elsevier
With rapid advances in digitization, many critical processes in transportation, industries, and
our daily life rely on sensor measurements. With time, however, the measurements may get …

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 …

Anomaly detection of massive bridge monitoring data through multiple transfer learning with adaptively setting hyperparameters

CX Qu, HM Zhang, TH Yi, ZY Pang, HN Li - Engineering Structures, 2024 - Elsevier
Civil infrastructure relies heavily on structural health monitoring systems. However, these
systems often encounter challenges due to sensor failures and environmental damage …

Comprehensive fault diagnosis in UAV-assisted sensor networks: A three-phase automated approach

S Swain, PM Khilar, BR Senapati, RR Swain - Computer Communications, 2024 - Elsevier
Ensuring operational safety in an automated working environment is a crucial requirement.
In this article, we propose a technique for automated fault diagnosis in unmanned aerial …