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Unpublished Paper
Distributed Inference and Query Processing for RFID Tracking and Monitoring
(2011)
Abstract
In this paper, we present the design of a scalable, distributed stream processing system for RFID tracking and monitoring. Since RFID data lacks containment and location information that is key to query processing, we propose to combine location and containment inference with stream query processing in a single architecture, with inference as an enabling mechanism for high-level query processing. We further consider challenges in instantiating such a system in large distributed settings and design techniques for distributed inference and query processing. Our experimental results, using both real-world data and large synthetic traces, demonstrate the accuracy, efficiency, and scalability of our proposed techniques.
Disciplines
Publication Date
March 22, 2011
Comments
This is the pre-published version harvested from arXiv.
Citation Information
Zhao Cao, Charles Sutton, Yanlei Diao and Prashant Shenoy. "Distributed Inference and Query Processing for RFID Tracking and Monitoring" (2011) Available at: http://works.bepress.com/prashant_shenoy/1/