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...
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doaj-12fdf8b3fee04cedb636bc9d07a38f8f2020-11-24T23:26:37ZengMDPI AGSensors1424-82202016-01-011615710.3390/s16010057s16010057Self-Powered WSN for Distributed Data Center MonitoringDavide Brunelli0Roberto Passerone1Luca Rizzon2Maurizio Rossi3Davide Sartori4Department of Industrial Engineering (DII), University of Trento, via Sommarive 9, Povo (TN) I-38123, ItalyDepartment of Information Engineering and Computer Science (DISI), University of Trento, via Sommarive 9, Povo (TN) I-38123, ItalyDepartment of Information Engineering and Computer Science (DISI), University of Trento, via Sommarive 9, Povo (TN) I-38123, ItalyDepartment of Industrial Engineering (DII), University of Trento, via Sommarive 9, Povo (TN) I-38123, ItalyDepartment of Industrial Engineering (DII), University of Trento, via Sommarive 9, Povo (TN) I-38123, ItalyMonitoring 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.http://www.mdpi.com/1424-8220/16/1/57TEGsenergy harvestingbatteryless WSN |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Davide Brunelli Roberto Passerone Luca Rizzon Maurizio Rossi Davide Sartori |
spellingShingle |
Davide Brunelli Roberto Passerone Luca Rizzon Maurizio Rossi Davide Sartori Self-Powered WSN for Distributed Data Center Monitoring Sensors TEGs energy harvesting batteryless WSN |
author_facet |
Davide Brunelli Roberto Passerone Luca Rizzon Maurizio Rossi Davide Sartori |
author_sort |
Davide Brunelli |
title |
Self-Powered WSN for Distributed Data Center Monitoring |
title_short |
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_sort |
self-powered wsn for distributed data center monitoring |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2016-01-01 |
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. |
topic |
TEGs energy harvesting batteryless WSN |
url |
http://www.mdpi.com/1424-8220/16/1/57 |
work_keys_str_mv |
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1725554201666256896 |