Abstract
In this paper, we propose the use of Bluetooth as the device management platform for the various embedded sensors and actuators in an ambient intelligent environment. We demonstrate the ease of adding Bluetooth capability to common sensor circuits (e.g. motion sensor circuit based on a pyroelectric infrared (PIR) sensor). A central logic application is proposed which controls the operation of controller devices, based on values returned by sensors via Bluetooth. The operation of devices depends on rules that are learnt from user behavior using an Elman recurrent neural network. Overall, Bluetooth has shown its potential in being used as a device management platform in an ambient intelligent environment, which allows sensors and controllers to be deployed even in locations where power sources are not readily available, by using battery power.
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References
Aarts, E.H.L., de Ruyter, B.: New research perspectives on Ambient Intelligence. Journal of Ambient Intelligence and Smart Environments 1(1), 5–14 (2009)
Bluetooth Core Specifications, http://www.bluetooth.com/English/Technology/Building/Pages/Specifcation.aspx (retrieved March 17, 2010)
Wikipedia, X10 (industry standard), http://en.wikipedia.org/wiki/X10_industry_standard (retrieved February 20, 2010)
Echelon Corporation, LonWorks Technology Overview, http://www.echelon.com/developers/lonworks/default.htm (retrieved February 24 , 2010)
Pham, D.T., Liu, X.: Training of Elman networks and dynamic system modeling. International Journal of Systems Science 27(2), 221–226 (1996)
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© 2010 Springer-Verlag Berlin Heidelberg
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Lim, I.BK., Yow, K.C. (2010). A Bluetooth-Based Device Management Platform for Smart Sensor Environment. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_30
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DOI: https://doi.org/10.1007/978-3-642-16917-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16916-8
Online ISBN: 978-3-642-16917-5
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