Cargando…

EMMNet: Sensor Networking for Electricity Meter Monitoring

Smart sensors are emerging as a promising technology for a large number of application domains. This paper presents a collection of requirements and guidelines that serve as a basis for a general smart sensor architecture to monitor electricity meters. It also presents an electricity meter monitorin...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Zhi-Ting, Zheng, Jie, Ji, Yu-Sheng, Zhao, Bao-Hua, Qu, Yu-Gui, Huang, Xu-Dong, Jiang, Xiu-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231141/
https://www.ncbi.nlm.nih.gov/pubmed/22163551
http://dx.doi.org/10.3390/s100706307
_version_ 1782218153289318400
author Lin, Zhi-Ting
Zheng, Jie
Ji, Yu-Sheng
Zhao, Bao-Hua
Qu, Yu-Gui
Huang, Xu-Dong
Jiang, Xiu-Fang
author_facet Lin, Zhi-Ting
Zheng, Jie
Ji, Yu-Sheng
Zhao, Bao-Hua
Qu, Yu-Gui
Huang, Xu-Dong
Jiang, Xiu-Fang
author_sort Lin, Zhi-Ting
collection PubMed
description Smart sensors are emerging as a promising technology for a large number of application domains. This paper presents a collection of requirements and guidelines that serve as a basis for a general smart sensor architecture to monitor electricity meters. It also presents an electricity meter monitoring network, named EMMNet, comprised of data collectors, data concentrators, hand-held devices, a centralized server, and clients. EMMNet provides long-distance communication capabilities, which make it suitable suitable for complex urban environments. In addition, the operational cost of EMMNet is low, compared with other existing remote meter monitoring systems based on GPRS. A new dynamic tree protocol based on the application requirements which can significantly improve the reliability of the network is also proposed. We are currently conducting tests on five networks and investigating network problems for further improvements. Evaluation results indicate that EMMNet enhances the efficiency and accuracy in the reading, recording, and calibration of electricity meters.
format Online
Article
Text
id pubmed-3231141
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-32311412011-12-07 EMMNet: Sensor Networking for Electricity Meter Monitoring Lin, Zhi-Ting Zheng, Jie Ji, Yu-Sheng Zhao, Bao-Hua Qu, Yu-Gui Huang, Xu-Dong Jiang, Xiu-Fang Sensors (Basel) Article Smart sensors are emerging as a promising technology for a large number of application domains. This paper presents a collection of requirements and guidelines that serve as a basis for a general smart sensor architecture to monitor electricity meters. It also presents an electricity meter monitoring network, named EMMNet, comprised of data collectors, data concentrators, hand-held devices, a centralized server, and clients. EMMNet provides long-distance communication capabilities, which make it suitable suitable for complex urban environments. In addition, the operational cost of EMMNet is low, compared with other existing remote meter monitoring systems based on GPRS. A new dynamic tree protocol based on the application requirements which can significantly improve the reliability of the network is also proposed. We are currently conducting tests on five networks and investigating network problems for further improvements. Evaluation results indicate that EMMNet enhances the efficiency and accuracy in the reading, recording, and calibration of electricity meters. Molecular Diversity Preservation International (MDPI) 2010-06-24 /pmc/articles/PMC3231141/ /pubmed/22163551 http://dx.doi.org/10.3390/s100706307 Text en © 2010 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
Lin, Zhi-Ting
Zheng, Jie
Ji, Yu-Sheng
Zhao, Bao-Hua
Qu, Yu-Gui
Huang, Xu-Dong
Jiang, Xiu-Fang
EMMNet: Sensor Networking for Electricity Meter Monitoring
title EMMNet: Sensor Networking for Electricity Meter Monitoring
title_full EMMNet: Sensor Networking for Electricity Meter Monitoring
title_fullStr EMMNet: Sensor Networking for Electricity Meter Monitoring
title_full_unstemmed EMMNet: Sensor Networking for Electricity Meter Monitoring
title_short EMMNet: Sensor Networking for Electricity Meter Monitoring
title_sort emmnet: sensor networking for electricity meter monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231141/
https://www.ncbi.nlm.nih.gov/pubmed/22163551
http://dx.doi.org/10.3390/s100706307
work_keys_str_mv AT linzhiting emmnetsensornetworkingforelectricitymetermonitoring
AT zhengjie emmnetsensornetworkingforelectricitymetermonitoring
AT jiyusheng emmnetsensornetworkingforelectricitymetermonitoring
AT zhaobaohua emmnetsensornetworkingforelectricitymetermonitoring
AT quyugui emmnetsensornetworkingforelectricitymetermonitoring
AT huangxudong emmnetsensornetworkingforelectricitymetermonitoring
AT jiangxiufang emmnetsensornetworkingforelectricitymetermonitoring