DocumentCode :
2923394
Title :
Initiative prevention strategy for context inconsistency in smart home
Author :
Chien, Been-Chian ; Hsueh, Yuen-Kuei
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan
fYear :
2011
fDate :
8-10 Nov. 2011
Firstpage :
138
Lastpage :
143
Abstract :
A context-aware system generally integrates many different kinds of information techniques to build a computing environment for serving users anytime, anywhere. For a complicated context-aware system with large number of users, the interference among devices and users usually decreases the correctness and reliability of context. The incorrect context may cause context inconsistency and lead a context-aware system to trigger abnormal reactions and wrong decisions. In this paper, the prevention strategy is proposed for resolving context inconsistency. The context consistency constraints for different sensor data types are proposed and developed to prevent the context inconsistency caused by imprecise sensing devices and environmental noises. The experimental results show that the proposed consistency constraints and resolution rules can eliminate incorrect contexts effectively and improve the quality of a context-aware system in the application of smart living space.
Keywords :
home automation; sensors; ubiquitous computing; context aware system; context inconsistency; initiative prevention strategy; sensor data types; smart home; smart living space; Accuracy; Context; Educational institutions; Hidden Markov models; Sensors; Smart homes; Software engineering; context aware; context inconsistency; inconsisency prevention; smart home;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
Type :
conf
DOI :
10.1109/GRC.2011.6122582
Filename :
6122582
Link To Document :
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