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Self-Powered WSN for Distributed Data Center Monitoring
Monitoring environmental parameters in data centers is gathering nowadays increasing attention from industry, due to the need of high energy efficiency of cloud services. We present the design and the characterization of an energy neutral embedded wireless system, prototyped to monitor perpetually e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732090/ https://www.ncbi.nlm.nih.gov/pubmed/26729135 http://dx.doi.org/10.3390/s16010057 |
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author | Brunelli, Davide Passerone, Roberto Rizzon, Luca Rossi, Maurizio Sartori, Davide |
author_facet | Brunelli, Davide Passerone, Roberto Rizzon, Luca Rossi, Maurizio Sartori, Davide |
author_sort | Brunelli, Davide |
collection | PubMed |
description | Monitoring environmental parameters in data centers is gathering nowadays increasing attention from industry, due to the need of high energy efficiency of cloud services. We present the design and the characterization of an energy neutral embedded wireless system, prototyped to monitor perpetually environmental parameters in servers and racks. It is powered by an energy harvesting module based on Thermoelectric Generators, which converts the heat dissipation from the servers. Starting from the empirical characterization of the energy harvester, we present a power conditioning circuit optimized for the specific application. The whole system has been enhanced with several sensors. An ultra-low-power micro-controller stacked over the energy harvesting provides an efficient power management. Performance have been assessed and compared with the analytical model for validation. |
format | Online Article Text |
id | pubmed-4732090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47320902016-02-12 Self-Powered WSN for Distributed Data Center Monitoring Brunelli, Davide Passerone, Roberto Rizzon, Luca Rossi, Maurizio Sartori, Davide Sensors (Basel) Article Monitoring environmental parameters in data centers is gathering nowadays increasing attention from industry, due to the need of high energy efficiency of cloud services. We present the design and the characterization of an energy neutral embedded wireless system, prototyped to monitor perpetually environmental parameters in servers and racks. It is powered by an energy harvesting module based on Thermoelectric Generators, which converts the heat dissipation from the servers. Starting from the empirical characterization of the energy harvester, we present a power conditioning circuit optimized for the specific application. The whole system has been enhanced with several sensors. An ultra-low-power micro-controller stacked over the energy harvesting provides an efficient power management. Performance have been assessed and compared with the analytical model for validation. MDPI 2016-01-02 /pmc/articles/PMC4732090/ /pubmed/26729135 http://dx.doi.org/10.3390/s16010057 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brunelli, Davide Passerone, Roberto Rizzon, Luca Rossi, Maurizio Sartori, Davide Self-Powered WSN for Distributed Data Center Monitoring |
title | Self-Powered WSN for Distributed Data Center Monitoring |
title_full | Self-Powered WSN for Distributed Data Center Monitoring |
title_fullStr | Self-Powered WSN for Distributed Data Center Monitoring |
title_full_unstemmed | Self-Powered WSN for Distributed Data Center Monitoring |
title_short | Self-Powered WSN for Distributed Data Center Monitoring |
title_sort | self-powered wsn for distributed data center monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732090/ https://www.ncbi.nlm.nih.gov/pubmed/26729135 http://dx.doi.org/10.3390/s16010057 |
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