PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Distributed Inference and Query Processing for RFID Tracking and Monitoring
Zhao Cao, Charles Sutton, Yanlei Diao and Prashant Shenoy
In: VLDB 2011(2010).


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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:7161
Deposited By:Charles Sutton
Deposited On:07 March 2011