Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/53185
Title: | Ubiquitous Monitoring of Electrical Household Appliances | Authors: | Lloret, Jaime Macias, Elsa Suarez, Alvaro Lacuesta, Raquel |
UNESCO Clasification: | 3325 Tecnología de las telecomunicaciones | Keywords: | Data Fusion Algorithms Smart Home |
Issue Date: | 2012 | Publisher: | 1424-8220 | Journal: | Sensors | Abstract: | The number of appliances at home is increasing continuously, mainly because they make our lives easier. Currently, technology is integrated in all objects of our daily life. TCP/IP let us monitor our home in real time and check ubiquitously if something is happening at home. Bearing in mind this idea, we have developed a low-cost system, which can be used in any type of electrical household appliance that takes information from the appliance and posts the information to the Twitter Social network. Several sensors placed in the household appliances gather the sensed data and send them wired or wirelessly, depending on the case, using small and cheap devices to a gateway located in the home. This gateway takes decisions, based on the received data, and sends notifications to Twitter. We have developed a software application that takes the values and decides when to issue an alarm to the registered users (Twitter friends of our smart home). The performance of our system has been measured taking into account the home network (using IEEE 802.3u and IEEE 802.11g) and the data publishing in Twitter. As a result, we have generated an original product and service for any electrical household appliance, regardless of the model and manufacturer, that helps home users improve their quality of life. The paper also shows that there is no system with the same innovative features like the ones presented in this paper. | URI: | http://hdl.handle.net/10553/53185 | ISSN: | 1424-8220 | DOI: | 10.3390/s121115159 | Source: | Sensors [ISSN 1424-8220],v. 12 (11), p. 15159-15191, (Noviembre 2012) |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
19
checked on Nov 24, 2024
WEB OF SCIENCETM
Citations
16
checked on Nov 24, 2024
Page view(s)
73
checked on May 18, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.