Distributed inference and query processing for RFID tracking and monitoring
Zhao Cao,Charles Sutton,Yanlei Diao,Prashant Shenoy +3 more
- 01 Feb 2011
- Vol. 4, Iss: 5, pp 326-337
TL;DR: This paper proposes a scalable, distributed stream processing system for RFID tracking and monitoring that combines location and containment inference with stream query processing in a single architecture, with inference as an enabling mechanism for high-level query processing.
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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.
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Temporal management of RFID data
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TL;DR: This system enables semantic RFID data filtering and automatic data transformation based on declarative rules, provides powerful query support of RFID object tracking and monitoring, and can be adapted to different RFID-enabled applications.
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Simson L. Garfinkel,Beth Rosenberg +1 more
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