Low-power self-energy meter for wireless sensor network
Resumen:
Real-time measurement of the energy consumption of wireless sensor network nodes in the field has many interesting applications that range from predicting the remaining battery charge to the energy efficiency assessment of communication protocols. However, designing such a system presents many challenges. In this work we present a measurement method and circuit, named Self-Energy Meter (SEM), that easily adds to a sensor node the capability of measuring its own energy consumption. The SEM developed has very low power consumption, ensuring an almost negligible impact in the battery lifetime. It also solves the problem of handling a dynamic range of five decades. Results from simulations show that the SEM is highly linear, with a coefficient of determination of 0.996, presenting a very low temperature drift, and is almost independent of the power supply.
2013 | |
Electrónica | |
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/41760 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
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---|---|
author | Fernández, Carlos A. |
author2 | Bouvier, Diego A Villaverde, Jorge Steinfeld, Leonardo Oreggioni, Julián |
author2_role | author author author author |
author_facet | Fernández, Carlos A. Bouvier, Diego A Villaverde, Jorge Steinfeld, Leonardo Oreggioni, Julián |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Fernández, Carlos A. Bouvier, Diego A Villaverde, Jorge Steinfeld, Leonardo Oreggioni, Julián |
dc.date.accessioned.none.fl_str_mv | 2023-12-11T19:57:38Z |
dc.date.available.none.fl_str_mv | 2023-12-11T19:57:38Z |
dc.date.issued.es.fl_str_mv | 2013 |
dc.date.submitted.es.fl_str_mv | 20231211 |
dc.description.abstract.none.fl_txt_mv | Real-time measurement of the energy consumption of wireless sensor network nodes in the field has many interesting applications that range from predicting the remaining battery charge to the energy efficiency assessment of communication protocols. However, designing such a system presents many challenges. In this work we present a measurement method and circuit, named Self-Energy Meter (SEM), that easily adds to a sensor node the capability of measuring its own energy consumption. The SEM developed has very low power consumption, ensuring an almost negligible impact in the battery lifetime. It also solves the problem of handling a dynamic range of five decades. Results from simulations show that the SEM is highly linear, with a coefficient of determination of 0.996, presenting a very low temperature drift, and is almost independent of the power supply. |
dc.description.es.fl_txt_mv | Trabajo presentado a 2013 IEEE International Conference on Distributed Computing in Sensor Systems |
dc.identifier.citation.es.fl_str_mv | Fernández, C, Bouvier, D, Villaverde, J, Steinfeld, L, Oreggioni, J. "Low-power self-energy meter for wireless sensor network" Publicado en: Proceedings of the 2013 IEEE International Conference on Distributed Computing in Sensor Systems, Cambridge, MA, USA, 2013, pp. 315-317, doi: 10.1109/DCOSS.2013.69. |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41760 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | Udelar.FI |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.other.es.fl_str_mv | Electrónica |
dc.title.none.fl_str_mv | Low-power self-energy meter for wireless sensor network |
dc.type.es.fl_str_mv | Ponencia |
dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | Trabajo presentado a 2013 IEEE International Conference on Distributed Computing in Sensor Systems |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_2d8b85367188554f08bf1c580a0854cb |
identifier_str_mv | Fernández, C, Bouvier, D, Villaverde, J, Steinfeld, L, Oreggioni, J. "Low-power self-energy meter for wireless sensor network" Publicado en: Proceedings of the 2013 IEEE International Conference on Distributed Computing in Sensor Systems, Cambridge, MA, USA, 2013, pp. 315-317, doi: 10.1109/DCOSS.2013.69. |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41760 |
publishDate | 2013 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | 2023-12-11T19:57:38Z2023-12-11T19:57:38Z201320231211Fernández, C, Bouvier, D, Villaverde, J, Steinfeld, L, Oreggioni, J. "Low-power self-energy meter for wireless sensor network" Publicado en: Proceedings of the 2013 IEEE International Conference on Distributed Computing in Sensor Systems, Cambridge, MA, USA, 2013, pp. 315-317, doi: 10.1109/DCOSS.2013.69.https://hdl.handle.net/20.500.12008/41760Trabajo presentado a 2013 IEEE International Conference on Distributed Computing in Sensor SystemsReal-time measurement of the energy consumption of wireless sensor network nodes in the field has many interesting applications that range from predicting the remaining battery charge to the energy efficiency assessment of communication protocols. However, designing such a system presents many challenges. In this work we present a measurement method and circuit, named Self-Energy Meter (SEM), that easily adds to a sensor node the capability of measuring its own energy consumption. The SEM developed has very low power consumption, ensuring an almost negligible impact in the battery lifetime. It also solves the problem of handling a dynamic range of five decades. Results from simulations show that the SEM is highly linear, with a coefficient of determination of 0.996, presenting a very low temperature drift, and is almost independent of the power supply.Made available in DSpace on 2023-12-11T19:57:38Z (GMT). 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Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)ElectrónicaLow-power self-energy meter for wireless sensor networkPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaFernández, Carlos A.Bouvier, Diego AVillaverde, JorgeSteinfeld, LeonardoOreggioni, 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- Universidad de la Repúblicafalse |
spellingShingle | Low-power self-energy meter for wireless sensor network Fernández, Carlos A. Electrónica |
status_str | publishedVersion |
title | Low-power self-energy meter for wireless sensor network |
title_full | Low-power self-energy meter for wireless sensor network |
title_fullStr | Low-power self-energy meter for wireless sensor network |
title_full_unstemmed | Low-power self-energy meter for wireless sensor network |
title_short | Low-power self-energy meter for wireless sensor network |
title_sort | Low-power self-energy meter for wireless sensor network |
topic | Electrónica |
url | https://hdl.handle.net/20.500.12008/41760 |