Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN

Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN

One of the most important challenges in Wireless Sensor Networks (WSN) is the extension of the sensors lifetime, which are battery-powered devices, through a reduction in energy consumption. Using data prediction to decrease the amount of transmitted data is one of the approaches to solve this probl...

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Bibliographic Details
Main Authors: Carlos R. Morales, Fernando Rangel de Sousa, Valner Brusamarello, Nestor C. Fernandes
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
wireless sensor networks
forecasting
energy saving
neural networks
Online Access:https://www.mdpi.com/1424-8220/21/21/7375

Internet

https://www.mdpi.com/1424-8220/21/21/7375

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