Presentation 2007-07-03
The Design of a Probabilistic Inference Sensor Database System
Hideyuki KAWASHIMA, Hiroyuki KITAGAWA,
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Abstract(in English) Applications of ubiquitous sensor networks are widely spread to natural environment monitoring, civil environment monitoring, or human condition monitoring. A database technology to support them is in network processing techniques. It executes computation of data manipulation operations in a sensor network and improves both the performance and the quality of query result, reducing power consumption. So far, most of in network processing techniques were for aggregations. However, the purpose of building sensor networks is the recognition of the physical world, and the aggregations are not very useful for the recognitions. This paper picks up a probabilistic inference technique Bayesian networks, and proposes a method to apply it for in network processing.
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Keyword(in English) In Network Processing / Bayesian Networks / Sensor Networks
Paper # DE2007-80
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Committee DE
Conference Date 2007/6/25(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Design of a Probabilistic Inference Sensor Database System
Sub Title (in English)
Keyword(1) In Network Processing
Keyword(2) Bayesian Networks
Keyword(3) Sensor Networks
1st Author's Name Hideyuki KAWASHIMA
1st Author's Affiliation Graduate School of Systems and Information Engineering, Department of Computer Science, University of Tsukuba()
2nd Author's Name Hiroyuki KITAGAWA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, Department of Computer Science, University of Tsukuba
Date 2007-07-03
Paper # DE2007-80
Volume (vol) vol.107
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue