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Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation

In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network’s expected behaviour. We study duplicated packets, one-way dela...

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Detalles Bibliográficos
Autores principales: Clavijo-Rodriguez, Alberto, Alonso-Eugenio, Victor, Zazo, Santiago, Perez-Alvarez, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867061/
https://www.ncbi.nlm.nih.gov/pubmed/33535478
http://dx.doi.org/10.3390/s21030966
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author Clavijo-Rodriguez, Alberto
Alonso-Eugenio, Victor
Zazo, Santiago
Perez-Alvarez, Ivan
author_facet Clavijo-Rodriguez, Alberto
Alonso-Eugenio, Victor
Zazo, Santiago
Perez-Alvarez, Ivan
author_sort Clavijo-Rodriguez, Alberto
collection PubMed
description In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network’s expected behaviour. We study duplicated packets, one-way delay, and power consumption to analyse the network’s leading parameters. Evaluating production-ready software in simulated conditions eases effective deployment. This method will ultimately allow us to establish these parameters, test the software before the deployment, and have an excellent understanding of the network’s behaviour.
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spelling pubmed-78670612021-02-07 Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation Clavijo-Rodriguez, Alberto Alonso-Eugenio, Victor Zazo, Santiago Perez-Alvarez, Ivan Sensors (Basel) Article In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network’s expected behaviour. We study duplicated packets, one-way delay, and power consumption to analyse the network’s leading parameters. Evaluating production-ready software in simulated conditions eases effective deployment. This method will ultimately allow us to establish these parameters, test the software before the deployment, and have an excellent understanding of the network’s behaviour. MDPI 2021-02-01 /pmc/articles/PMC7867061/ /pubmed/33535478 http://dx.doi.org/10.3390/s21030966 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Clavijo-Rodriguez, Alberto
Alonso-Eugenio, Victor
Zazo, Santiago
Perez-Alvarez, Ivan
Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title_full Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title_fullStr Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title_full_unstemmed Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title_short Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation
title_sort software-in-loop simulation of an underwater wireless sensor network for monitoring seawater quality: parameter selection and performance validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867061/
https://www.ncbi.nlm.nih.gov/pubmed/33535478
http://dx.doi.org/10.3390/s21030966
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