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Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design

When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using in...

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Detalles Bibliográficos
Autores principales: D’Este, Claire, de Souza, Paulo, Sharman, Chris, Allen, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376612/
https://www.ncbi.nlm.nih.gov/pubmed/22736982
http://dx.doi.org/10.3390/s120302874
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author D’Este, Claire
de Souza, Paulo
Sharman, Chris
Allen, Simon
author_facet D’Este, Claire
de Souza, Paulo
Sharman, Chris
Allen, Simon
author_sort D’Este, Claire
collection PubMed
description When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations. Costs in maintenance, negotiation, equipment, exposure and communication are estimated using hydrodynamic models and Electronic Navigation Charts. Benefits in maximum coverage and reducing overall error are also determined using model output. This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs.
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spelling pubmed-33766122012-06-25 Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design D’Este, Claire de Souza, Paulo Sharman, Chris Allen, Simon Sensors (Basel) Article When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations. Costs in maintenance, negotiation, equipment, exposure and communication are estimated using hydrodynamic models and Electronic Navigation Charts. Benefits in maximum coverage and reducing overall error are also determined using model output. This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs. Molecular Diversity Preservation International (MDPI) 2012-03-02 /pmc/articles/PMC3376612/ /pubmed/22736982 http://dx.doi.org/10.3390/s120302874 Text en © 2012 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
D’Este, Claire
de Souza, Paulo
Sharman, Chris
Allen, Simon
Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title_full Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title_fullStr Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title_full_unstemmed Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title_short Relocatable, Automated Cost-Benefit Analysis for Marine Sensor Network Design
title_sort relocatable, automated cost-benefit analysis for marine sensor network design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376612/
https://www.ncbi.nlm.nih.gov/pubmed/22736982
http://dx.doi.org/10.3390/s120302874
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