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Unified Q-ary Tree for RFID Tag Anti-Collision Resolution
Pupunwiwat, P. and Stantic, B.
Radio Frequency Identification (RFID) technology
uses radio-frequency waves to automatically identify
people or objects. A large volume of data, resulting
from the fast capturing RFID readers and a huge
number of tags, poses challenges for data management.
This is particularly the case when a reader
simultaneously reads multiple tags and Radio Frequency
(RF) collisions occur, causing RF signals to
interfere with each other and therefore preventing
the reader from identifying all tags. This problem is
known as Missed reads, which can be solved by using
anti-collision techniques to prevent two or more tags
from responding to a reader at the same time. The
current probabilistic anti-collision methods are suffering
from Tag starvation problems so not all tags can
be identified, while the deterministic methods suffer
from too long Identification delay. In this paper, a
'Unified Q-ary Tree Protocols' based on Query tree
is presented. In empirical study compared with the
Query tree and 4-ary tree, we show that the proposed
method performs better, it requires less number of
queries per complete identification, which results in
less total identification time |
Cite as: Pupunwiwat, P. and Stantic, B. (2009). Unified Q-ary Tree for RFID Tag Anti-Collision Resolution. In Proc. Twentieth Australasian Database Conference (ADC 2009), Wellington, New Zealand. CRPIT, 92. Bouguettaya, A. and Lin, X., Eds. ACS. 49-58. |
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