Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55570
Title: PLACE : physical layer cardinality estimation for large-scale RFID systems
Authors: Hou, Y
Ou, J
Zheng, Y 
Li, M
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings - IEEE INFOCOM, v. 26, 7218579, p. 1957-1965 How to cite?
Abstract: Estimating the number of RFID tags is a fundamental operation in RFID systems and has recently attracted wide attentions. Despite the subtleties in their designs, previous methods estimate the tag cardinality from the slot measurements, which distinguish idle and busy slots and based on that derive the cardinality following some probability models. In order to fundamentally improve the counting efficiency, in this paper we introduce PLACE, a physical layer based cardinality estimator. We show that it is possible to extract more information and infer integer states from the same slots in RFID communications. We propose a joint estimator that optimally combines multiple sub-estimators, each of which independently counts the number of tags with different inferred PHY states. Extensive experiments based on the GNURadio/USRP platform and the large-scale simulations demonstrate that PLACE achieves approximately 3∼4× performance improvement over state-of-the-art cardinality estimation approaches.
URI: http://hdl.handle.net/10397/55570
ISBN: 978-1-4799-8381-0
ISSN: 0743-166X
DOI: 10.1109/INFOCOM.2015.7218579
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