NDLI: PLACE: Physical layer cardinality estimation for large-scale RFID systems

Content Provider	IEEE Xplore Digital Library
Author	Yuxiao Hou Jiajue Ou Yuanqing Zheng Mo Li
Copyright Year	2015
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China (Yuanqing Zheng) \|\| Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore (Yuxiao Hou; Jiajue Ou; Mo Li)
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.
Starting Page	1957
Ending Page	1965
File Size	3429660
Page Count	9
File Format	PDF
ISBN	9781479983810
DOI	10.1109/INFOCOM.2015.7218579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Accuracy Radiofrequency identification Physical layer Noise Computers Clustering algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

PLACE: Physical Layer Cardinality Estimation for Large-Scale RFID Systems

Towards Constant-Time Cardinality Estimation for Large-Scale RFID Systems

RFID cardinality estimation with blocker tags

Cardinality Estimation for Large-scale RFID Systems

Arbitrarily accurate approximation scheme for large-scale RFID cardinality estimation

Zoe: fast cardinality estimation for large-scale rfid systems.

Tag estimation in RFID systems with capture effect

Cardinality estimation for large-scale RFID systems (2008)

ZOE: Fast cardinality estimation for large-scale RFID systems

PLACE: Physical layer cardinality estimation for large-scale RFID systems

Similar Documents

PLACE: Physical Layer Cardinality Estimation for Large-Scale RFID Systems

Towards Constant-Time Cardinality Estimation for Large-Scale RFID Systems

RFID cardinality estimation with blocker tags

Cardinality Estimation for Large-scale RFID Systems

Arbitrarily accurate approximation scheme for large-scale RFID cardinality estimation

Zoe: fast cardinality estimation for large-scale rfid systems.

Tag estimation in RFID systems with capture effect

Cardinality estimation for large-scale RFID systems (2008)

ZOE: Fast cardinality estimation for large-scale RFID systems

PLACE: Physical layer cardinality estimation for large-scale RFID systems