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Energy Saving in a Smart Waiting Room Using Context-aware Services Adaptation

Authors:
Moeiz Miraoui
Manel Guizani

Keywords: waiting room, context; service; adaptation; naïve Bayes.

Abstract:
Smart spaces have become an active research field over the last few years. The main objective of such spaces is to provide intelligent services to the user for improved comfort and energy saving. The recent advances in sensors network and embedded systems have helped a lot in the realization of smart spaces. In order to provide adapted services to the users, such spaces should operate in a proactive manner and according to the current context. The degree of intelligence of such spaces could be enormously enhanced with the context-awareness aspect. Defining context and establishing its components are basic steps for context-aware services adaptation in a smart space. In this paper, we propose a context-aware services adaptation for a smart waiting room which could improve both person’s comfort and energy saving in such spaces. We describe the context using a clear and concise definition and use the naïve Bayes machine learning technique for the adaptation.

Pages: 47 to 51

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016