DocumentCode :
1999026
Title :
Design of Context Analysis System on USN Environment
Author :
Jin, Cheng Hao ; Lee, Yongmi ; Sohn, Gyoyong ; Kim, Hi-Seok ; Ryu, Keun Ho
Author_Institution :
Database Lab., Chungbuk Nat. Univ., Chungbuk
fYear :
2009
fDate :
27-29 April 2009
Firstpage :
1061
Lastpage :
1066
Abstract :
With advances in sensor techniques, much research is focused on USN (Ubiquitous Sensor Network) computing services and context analysis service is an important field among them. However, sensor stream data, which is generated from sensors used in many USN domain applications, is too fast to control each of them and the volume is too huge to store the whole data. Hence, in order to provide rapid and reliable context analysis service over such sensor stream data, a context analysis system which supports the functionality of sliding window is needed. The context model used in this system is a WHEN-DO context analysis model. This context analysis model is designed to be used as follows: If the sensor stream data satisfies condition in dasiaWHENpsila clause, then it will execute actions specified in dasiaDOpsila clause in WHEN-DO context analysis model. Hence, this system also works as the same way. First determine if the received sensor stream data satisfies condition in dasiaWHENpsila clause, if the condition is satisfied with the value of received sensor stream data, then it will execute action in dasiaDOpsila clause in WHEN-DO context analysis model. Using WHEN-DO context analysis model in this system can take corresponding actions according to user defined conditions. Our proposed context analysis system can be applied to many other USN environment applications such as monitoring the status of a building and then taking actions to that condition.
Keywords :
Web services; ubiquitous computing; computing services; context analysis service; context analysis system; reliable context analysis service; sensor stream data; sensor techniques; sliding window functionality; ubiquitous sensor network; user defined conditions; Biomedical monitoring; Context modeling; Context-aware services; Data analysis; Information analysis; Performance analysis; Risk analysis; Sensor phenomena and characterization; Sensor systems; Temperature sensors; context analysis; context model; sensor stream;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
Type :
conf
DOI :
10.1109/ITNG.2009.263
Filename :
5070764
Link To Document :
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