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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Robust Data, Event, and Privacy Services in Real-Time Embedded Sensor Network Systems |
ÀúÀÚ(Author) |
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Krasimira Kapitanova
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Kangsoo Jung
Krasimira Kapitanova
Sang H. Son
Seog Park
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¿ø¹®¼ö·Ïó(Citation) |
VOL 37 NO. 06 PP. 0324 ~ 0332 (2010. 12) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
The majority of event detection in real-time embedded sensor network systems is based on data fusion that uses noisy sensor data collected from complicated real-world environments. Current research has produced several excellent low-level mechanisms to collect sensor data and perform aggregation. However, solutions that enable these systems to provide real-time data processing using readings from heterogeneous sensors and subsequently detect complex events of interest in real-time fashion need further research. We are developing real-time event detection approaches which allow light-weight data fusion and do not require significant computing resources. Underlying the event detection framework is a collection of real-time monitoring and fusion mechanisms that are invoked upon the arrival of sensor data. The combination of these mechanisms and the framework has the potential to significantly improve the timeliness and reduce the resource requirements of embedded sensor networks. In addition to that, we discuss about a privacy that is foundation technique for trusted embedded sensor network system and explain anonymization technique to ensure privacy.
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Å°¿öµå(Keyword) |
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Embedded Sensor Network
Event Detection
Real-Time Data Processing
Privacy
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