Optimized back propagation neural network using quasi-oppositional learning-based African vulture optimization algorithm for data fusion in wireless sensor networks

AA Qaffas - Sensors, 2023 - mdpi.com
A Wireless Sensor Network (WSN) is a group of autonomous sensors geographically
distributed for environmental monitoring and tracking purposes. Since the sensors in the …

Optimized graph transformer with molecule attention network based multi class attack detection framework for enhancing privacy and security in WSN

M Anoop, LW Mary, AJ Wilson, WS Kiran - Multimedia Tools and …, 2024 - Springer
In today's rapidly evolving network landscape, cybersecurity has become increasingly
crucial. However, wireless sensor networks face unique challenges due to their limited …

[PDF][PDF] Healthy-State and Time-To-Failure Assessment of Induction Motors and Pumps for Maintenance Scheduling Using Cloud-Enabled Fault Prediction and …

GP Agbulu, T Ngwerume, E Kapuya… - International …, 2023 - academia.edu
Every industry relies heavily on electrical machines. When these machines fail without
giving a signal or warning, there is unplanned downtime and unanticipated deployment of …

[PDF][PDF] Dual-discriminator Conditional Generative Adversarial Network Optimized with Hybrid Momentum Search Algorithm and Giza Pyramids Construction Algorithm …

BD Darshan, CR Prashanth - International Journal of Computer …, 2023 - mecs-press.org
Wireless sensor network (WSN) efficiently sends and receives the data on the internet of
things (IoT) environment. As a large-scale WSN's nodes are powered by batteries, it is …

IESDCC-KM: an improved energy-saving distributed cluster–chain K-communication scheme for smart sensor networks

G Pius Agbulu, G Joselin Retna Kumar… - International Journal of …, 2024 - Springer
Owing to the inexpensive, adaptable, and scalable features of WSNs (wireless sensor
networks), the network is viewed as a vital technology to support distinct smart applications …

Machine learning‐based data fusion method for wireless sensor networks

C Liang, Q Yao - Advanced Control for Applications …, 2024 - Wiley Online Library
For wireless sensor networks (WSNs), sensor nodes lose a certain amount of energy during
the information collection and transmission process, and sensor nodes powered by non …

[PDF][PDF] Data Aggregation Scheme Using Differential Evolution with Sailfish Optimization for Clustering and Routing in IoT.

S Puli, S Nulaka, L Patnala, S Mishra… - International Journal of …, 2024 - inass.org
Internet of Things (IoT) facilitates connectivity in businesses and smart homes by integrating
embedded technology, wireless sensor networks and data aggregation. Regular monitoring …

A deep fusion method for asynchronous data in the internet of things based on data feature mining

Y Huang - International Journal of Computer Applications in …, 2024 - inderscienceonline.com
In order to reduce the packet loss rate and fusion time during the data fusion process, a
deep fusion method for asynchronous data in the Internet of Things based on data feature …

[PDF][PDF] Data Dissemination Techniques for Internet of Things Applications: Research Challenges and Opportunities

H bin Lenando, SC Albert, M Alrfaay - Foundations of Computing and … - sciendo.com
The escalating prevalence of Internet of Things (IoT) devices has necessitated efficient data
dissemination methods to optimize the unprecedented volume of generated data. The rapid …

A Practical IoT-Based PM2.5 Air Contaminant Tracking Mechanism with Suitable Machine Learning Support

S Gunasekar, GJR Kumar, GP Agbulu… - National Conference on …, 2018 - Springer
The air quality of any environment is of crucial concern. With developments in (CPS) cyber-
physical systems and data analytics, air contaminants can be tracked employing …