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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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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. |
format | Online Article Text |
id | pubmed-3821352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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