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SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes

The paper presents a numerical energy harvesting model for sensor nodes, SIVEH (Simulator I–V for EH), based on I–V hardware tracking. I–V tracking is demonstrated to be more accurate than traditional energy modeling techniques when some of the components present different power dissipation at eithe...

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Detalles Bibliográficos
Autores principales: Sanchez, Antonio, Blanc, Sara, Climent, Salvador, Yuste, Pedro, Ors, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821352/
https://www.ncbi.nlm.nih.gov/pubmed/24008287
http://dx.doi.org/10.3390/s130911750
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author Sanchez, Antonio
Blanc, Sara
Climent, Salvador
Yuste, Pedro
Ors, Rafael
author_facet Sanchez, Antonio
Blanc, Sara
Climent, Salvador
Yuste, Pedro
Ors, Rafael
author_sort Sanchez, Antonio
collection PubMed
description The paper presents a numerical energy harvesting model for sensor nodes, SIVEH (Simulator I–V for EH), based on I–V hardware tracking. I–V tracking is demonstrated to be more accurate than traditional energy modeling techniques when some of the components present different power dissipation at either different operating voltages or drawn currents. SIVEH numerical computing allows fast simulation of long periods of time—days, weeks, months or years—using real solar radiation curves. Moreover, SIVEH modeling has been enhanced with sleep time rate dynamic adjustment, while seeking energy-neutral operation. This paper presents the model description, a functional verification and a critical comparison with the classic energy approach.
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spelling pubmed-38213522013-11-09 SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes Sanchez, Antonio Blanc, Sara Climent, Salvador Yuste, Pedro Ors, Rafael Sensors (Basel) Article The paper presents a numerical energy harvesting model for sensor nodes, SIVEH (Simulator I–V for EH), based on I–V hardware tracking. I–V tracking is demonstrated to be more accurate than traditional energy modeling techniques when some of the components present different power dissipation at either different operating voltages or drawn currents. SIVEH numerical computing allows fast simulation of long periods of time—days, weeks, months or years—using real solar radiation curves. Moreover, SIVEH modeling has been enhanced with sleep time rate dynamic adjustment, while seeking energy-neutral operation. This paper presents the model description, a functional verification and a critical comparison with the classic energy approach. MDPI 2013-09-04 /pmc/articles/PMC3821352/ /pubmed/24008287 http://dx.doi.org/10.3390/s130911750 Text en © 2013 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
Sanchez, Antonio
Blanc, Sara
Climent, Salvador
Yuste, Pedro
Ors, Rafael
SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title_full SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title_fullStr SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title_full_unstemmed SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title_short SIVEH: Numerical Computing Simulation of Wireless Energy-Harvesting Sensor Nodes
title_sort siveh: numerical computing simulation of wireless energy-harvesting sensor nodes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821352/
https://www.ncbi.nlm.nih.gov/pubmed/24008287
http://dx.doi.org/10.3390/s130911750
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