Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

RFID detection—unknown tags

Authors: Alex X. Liu; Muhammad Shahzad; null Xiulong Liu; null Keqiu Li;

RFID detection—unknown tags

Abstract

This study has investigated a practically important problem of unknown tag detection that aims to detect the existence of unknown tags in a time-and energy-efficient way. We have proposed a new SBF which is a general case of the standard BF. Based on the new filtering technique, we have further proposed the SBF-UDP. Sufficient theoretically analysis is presented to minimize the execution time as well as energy consumption of the proposed protocol. We conduct extensive simulations to evaluate the performance of our SBF-UDP, and the experimental results show that our SBF-UDP protocol considerably outperforms the previous related protocols in terms of both time efficiency and energy efficiency.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!