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.
A scalable, distributed stream processing system for RFID tracking and monitoring REF proposes novel inference techniques that provide accurate estimates of object positions and containment relationships in noisy, dynamic environments.
Distributed Inference and Query Processing for RFID Tracking and Monitoring
Proceedings of the VLDB Endowment (PVLDB), Vol. 4, No. 5, pp. 326-337 (2011)
Computer Science