A smart appliance management system with current clustering algorithm in home network

Shih Yeh Chen, Yu Sheng Lu, Chin-Feng Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Due to the variety of household electric devices and different power consumption habits of consumers at present, it is a challenge to identify various electric appliances without any presetting. This paper proposed the smart appliance management system for recognizing of electric appliances in home network, which can measure the power consumption of household appliances through a current sensing device. The characteristics and categories of related electric appliances are established, and this system could search the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the current clustering algorithm. At the same time, this system integrates household appliance control network services to control them based on users' power consumption plans, thus realizing a bidirectional monitoring service. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances in home network.

Original languageEnglish
Title of host publicationGreen Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers
Pages13-24
Number of pages12
DOIs
Publication statusPublished - 2012 Nov 5
Event1st ICST International Conference on Green Communications and Networking, GreeNets 2011 - Colmar, France
Duration: 2011 Oct 52011 Oct 7

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume51 LNICST
ISSN (Print)1867-8211

Other

Other1st ICST International Conference on Green Communications and Networking, GreeNets 2011
CountryFrance
CityColmar
Period11-10-0511-10-07

Fingerprint

Electric appliances
Home networks
Clustering algorithms
Domestic appliances
Electric power utilization
Error detection
Monitoring

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Chen, S. Y., Lu, Y. S., & Lai, C-F. (2012). A smart appliance management system with current clustering algorithm in home network. In Green Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers (pp. 13-24). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 51 LNICST). https://doi.org/10.1007/978-3-642-33368-2_2
Chen, Shih Yeh ; Lu, Yu Sheng ; Lai, Chin-Feng. / A smart appliance management system with current clustering algorithm in home network. Green Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers. 2012. pp. 13-24 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).
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abstract = "Due to the variety of household electric devices and different power consumption habits of consumers at present, it is a challenge to identify various electric appliances without any presetting. This paper proposed the smart appliance management system for recognizing of electric appliances in home network, which can measure the power consumption of household appliances through a current sensing device. The characteristics and categories of related electric appliances are established, and this system could search the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the current clustering algorithm. At the same time, this system integrates household appliance control network services to control them based on users' power consumption plans, thus realizing a bidirectional monitoring service. In practical tests, the system reached a recognition rate of 95{\%}, and could successfully control general household appliances in home network.",
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Chen, SY, Lu, YS & Lai, C-F 2012, A smart appliance management system with current clustering algorithm in home network. in Green Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 51 LNICST, pp. 13-24, 1st ICST International Conference on Green Communications and Networking, GreeNets 2011, Colmar, France, 11-10-05. https://doi.org/10.1007/978-3-642-33368-2_2

A smart appliance management system with current clustering algorithm in home network. / Chen, Shih Yeh; Lu, Yu Sheng; Lai, Chin-Feng.

Green Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers. 2012. p. 13-24 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 51 LNICST).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Due to the variety of household electric devices and different power consumption habits of consumers at present, it is a challenge to identify various electric appliances without any presetting. This paper proposed the smart appliance management system for recognizing of electric appliances in home network, which can measure the power consumption of household appliances through a current sensing device. The characteristics and categories of related electric appliances are established, and this system could search the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the current clustering algorithm. At the same time, this system integrates household appliance control network services to control them based on users' power consumption plans, thus realizing a bidirectional monitoring service. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances in home network.

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Chen SY, Lu YS, Lai C-F. A smart appliance management system with current clustering algorithm in home network. In Green Communications and Networking - First International Conference, GreeNets 2011, Revised Selected Papers. 2012. p. 13-24. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.1007/978-3-642-33368-2_2