On-line WSN SoC estimation using Gaussian Process Regression: An Adaptive Machine Learning Approach

On-line WSN SoC estimation using Gaussian Process Regression: An Adaptive Machine Learning Approach

Wireless sensor networks (WSN) are low-resource devices that run on small batteries. The availability of battery energy, device drive cycles, and environmental conditions all have an impact on node lifetime. The state of charge (SoC) is an important factor in determining the amount of energy availab...

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Bibliographic Details
Main Authors: Omer Ali, Mohamad Khairi Ishak, Ashraf Bani Ahmed, Mohd Fadzli Mohd Salleh, Chia Ai Ooi, Muhammad Firdaus Akbar Jalaludin Khan, Imran Khan
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Alexandria Engineering Journal
Subjects:
Artificial Neural Networks (ANN)
Energy optimization
Gaussian Process Regression (GPR)
Internet of Things (IoT)
State-of-Charge (SoC) estimation
Support Vector Machine (SVM)
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016822001636

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http://www.sciencedirect.com/science/article/pii/S1110016822001636

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