Distributed inference and query processing for RFID tracking and monitoring

Zhao Cao, Charles Sutton, Yanlei Diao, Prashant Shenoy

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)326-337
Number of pages12
JournalProceedings of the VLDB Endowment (PVLDB)
Issue number5
Publication statusPublished - Feb 2011


Dive into the research topics of 'Distributed inference and query processing for RFID tracking and monitoring'. Together they form a unique fingerprint.

Cite this