DocumentCode :
182142
Title :
Fast Counting the Key Tags in Anonymous RFID Systems
Author :
Xiulong Liu ; Keqiu Li ; Heng Qi ; Bin Xiao ; Xin Xie
Author_Institution :
Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
fYear :
2014
fDate :
21-24 Oct. 2014
Firstpage :
59
Lastpage :
70
Abstract :
In RFID-enabled applications, we may pay more attention to key tags instead of all tags. This paper studies the problem of key tag counting, which aims at estimating how many key tags in a given set exist in the current RFID system. Previous work is slow to solve this new problem because of the serious interference replies from the large number of ordinary (i.e., Nonkey) tags. However, time-efficiency is an important metric for the fast tag cardinality estimation in a large-scale RFID system. In this paper, we propose a singleton slot-based estimator, which is time-efficient because the RFID reader only needs to observe the status change of expected singleton slots of key tags instead of the whole time frame. In practice, the ratio of key tags to all current tags is small for "key" members should be rare. As a result, even when the whole time frame is long, the expected singleton slot number is limited and the running of our protocol is fast to achieve estimation accuracy. Rigorous theoretical analysis shows that the proposed protocol can provide guaranteed estimation accuracy to end users. We conduct simulations and implement a prototype of our protocol to verify its efficiency and deployability.
Keywords :
estimation theory; radiofrequency identification; RFID-enabled applications; anonymous RFID reader systems; fast tag cardinality estimation; key tag fast counting; ordinary tags; serious interference; singleton slot-based estimator; status change; time frame; time-efficiency; Accuracy; Estimation; Protocols; Radiofrequency identification; Servers; Standards; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Protocols (ICNP), 2014 IEEE 22nd International Conference on
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4799-6203-7
Type :
conf
DOI :
10.1109/ICNP.2014.27
Filename :
6980366
Link To Document :
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