Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

In this paper, a novel application of the Nondominated Sorting Genetic Algorithm II (NSGA II) is presented for obtaining the charging current–time tradeoff curve in battery based underwater wireless sensor nodes. The selection of the optimal charging current and times is a common optimization proble...

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Bibliographic Details
Main Authors: Daniel Rodríguez García, Juan-A. Montiel-Nelson, Tomás Bautista, Javier Sosa
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
underwater wireless sensor node
wireless power transfer
NSGA-II
design optimization
Online Access:https://www.mdpi.com/1424-8220/21/16/5324

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