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...
Autores principales: | , , , , , , |
---|---|
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 |