DocumentCode :
84065
Title :
Towards More Efficient Cardinality Estimation for Large-Scale RFID Systems
Author :
Yuanqing Zheng ; Mo Li
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
22
Issue :
6
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1886
Lastpage :
1896
Abstract :
Radio frequency identification (RFID) cardinality estimation with an accuracy guarantee is of practical importance in various large-scale RFID applications. This paper proposes a fast RFID cardinality estimation protocol, named Zero-One Estimator (ZOE). ZOE only requires 1-bit response from the RFID tags per estimation round. More importantly, ZOE rapidly converges to optimal parameter configurations and achieves higher estimation efficiency compared to existing protocols. ZOE guarantees arbitrary accuracy requirement without imposing heavy computation and memory overhead at RFID tags except the routine operations of C1G2 standard. ZOE also provides reliable cardinality estimation with unreliable channels due to the robust protocol design. We prototype ZOE using the USRP software defined radio and the Intel WISP tags. We extensively evaluate the performance of ZOE compared to existing protocols, which demonstrates encouraging results in terms of estimation accuracy, time efficiency, as well as robustness over a large range of tag population.
Keywords :
access protocols; radiofrequency identification; software radio; C1G2 standard; Intel WISP tags; RFID cardinality estimation protocol; USRP software defined radio; ZOE; arbitrary accuracy requirement; large-scale RFID systems; optimal parameter configurations; radiofrequency identification; robust protocol design; zero-one estimator; Accuracy; Estimation; Positron emission tomography; Probabilistic logic; Protocols; RFID tags; Cardinality estimation; radio frequency identification (RFID) systems;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2013.2288352
Filename :
6656968
Link To Document :
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