By Topic

Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jaekwan Park ; Pusan Nat. Univ., Pusan ; Bonghee Hong ; Chaehoon Ban

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.

Published in:

Systems and Networks Communications, 2007. ICSNC 2007. Second International Conference on

Date of Conference:

25-31 Aug. 2007