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In this paper, we present the design of a scalable, distributed streamprocessing system for RFID tracking and monitoring. Since RFID data lackscontainment and location information that is key to query processing, wepropose to combine location and containment inference with stream queryprocessing in a single architecture, with inference as an enabling mechanismfor high-level query processing. We further consider challenges ininstantiating such a system in large distributed settings and design techniquesfor distributed inference and query processing. Our experimental results, usingboth real-world data and large synthetic traces, demonstrate the accuracy,efficiency, and scalability of our proposed techniques.

Distributed Inference and Query Processing for RFID Tracking and Monitoring