Enhanced Data Prediction and Compression in Wireless Sensor Networks Using Bidirectional LSTM with Offset Gaussian Modified Least Mean Square and Renyi-Entropy PCA

Enhanced Data Prediction and Compression in Wireless Sensor Networks Using Bidirectional LSTM with Offset Gaussian Modified Least Mean Square and Renyi-Entropy PCA

This paper addresses the critical challenge of energy consumption in Wireless Sensor Networks (WSN), which are often deployed in remote areas with limited battery replacement options. To enhance the network's lifetime, a novel approach that combines two key techniques: the Offset Gaussian Modif...

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Bibliographic Details
Main Authors: Vini Antony Grace N., Nada Alzaben, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2025-01-01
Series:Tehnički Vjesnik
Subjects:
data compression
data prediction
wireless sensor networks (WSNs)
energy consumption
Online Access:https://hrcak.srce.hr/file/481476
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