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Published Articles >> Table of Contents >> Abstract
Second International Conference on Systems and Networks Communications (ICSNC 2007)
p. 41
Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data
Jaekwan Park, Pusan National University, Korea
Bonghee Hong, Pusan National University, Korea
Chaehoon Ban, Kyungnam College of Information & Technology, Korea
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSNC.2007.33
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| Abstract |
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RFID data are usually regarded as streaming data
that are huge and change frequently because they are
gathered continuously by numerous readers. RFID
middleware filters the data acquired from the readers
to process queries from applications. To enhance the
performance of the middleware, an index must be built
to process the queries efficiently. Several approaches
to building an index on queries rather than data
records, called query index, have been proposed and
are widely used to evaluate continuous queries over
streaming data. EPCglobal proposed an Event Cycle
Specification (ECSpec) model, which is a standard
query interface for RFID applications. The problem
with using any of the query indexes in the ECSpec
model is that it takes a long time to build the index and
to process queries because each data consist of a large
number of segments. To solve this problem, we propose
an aggregate transformation that converts a group of
segments into compressed data. Then, we measure the
performance improvement of the index by the proposed
technique using experimental evaluation.
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 Additional Information
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Citation:
Jaekwan Park, Bonghee Hong, Chaehoon Ban,
"Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data,"
icsnc,
p. 41,
Second International Conference on Systems and Networks Communications (ICSNC 2007),
2007
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