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...

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Main Authors:	Lin, Zhi-Ting, Zheng, Jie, Ji, Yu-Sheng, Zhao, Bao-Hua, Qu, Yu-Gui, Huang, Xu-Dong, Jiang, Xiu-Fang
Format:	Online
Language:	English
Published:	Molecular Diversity Preservation International (MDPI) 2010
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231141/

id	pubmed-3231141
recordtype	oai_dc
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 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/).
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Lin, Zhi-Ting Zheng, Jie Ji, Yu-Sheng Zhao, Bao-Hua Qu, Yu-Gui Huang, Xu-Dong Jiang, Xiu-Fang
spellingShingle	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
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
title	EMMNet: Sensor Networking for Electricity Meter Monitoring
title_short	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_sort	emmnet: sensor networking for electricity meter monitoring
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.
publisher	Molecular Diversity Preservation International (MDPI)
publishDate	2010
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231141/
_version_	1611492024832229376

EMMNet: Sensor Networking for Electricity Meter Monitoring

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