By Topic

Efficient Complex Event Processing over RFID Data Stream

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
$33 $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

4 Author(s)
Xingyi Jin ; China Internet Network Inf. Center, Beijing ; Xiaodong Lee ; Ning Kong ; Baoping Yan

RFID technology holds the promise of real-time identifying, locating and monitoring physical objects. To achieve these goals, RFID events need to be collected efficiently and composed expressively. Furthermore, these events have unique characteristics, such as locomotive, temporal and history oriented which should be considered and integrated into an event engine model. The diversity of RFID applications poses further challenges to a generalized framework for RFID events processing. In this paper, the Expressive Stream Language is utilized to collect vast number of primitive events efficiently. Moreover, we introduce a novel semantics to meet requirement of expressive event composition. At last, we use Timed Petri Net to model our newly RFID complex event engine. By introducing typical applications scenarios, we evaluate the validity and effectiveness of our RFID event processing system.

Published in:

Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on

Date of Conference:

14-16 May 2008