Unsupervised Clustering Separation in Cross-Layer Approach for UHF RFID Tag Collision Recovery

DOI

10.2991/acaai-18.2018.54How to use a DOI?

Keywords

RFID; collision recovery; cross layer

Abstract

In passive ultra-high frequency (UHF) radio frequency identification (RFID) system, tag collision is generally resolved on a medium access control (MAC) layer. However, the collided signals are in fact recovered on a cross-physical (PHY)-MAC layer to enhance identification efficiency. This paper adopts the cross-layer approach to propose an unsupervised clustering algorithm which could directly separate the collision RFID signal on the PHY layer. The advantage of the proposed algorithm is to have lower computational complexity than traditional unsupervised clustering methods, like k-means. Moreover, the proposed algorithm does not depend on prior known prefix signals as training data. Simulation results show that the proposed approach has better identification efficiency performance than traditional pure MAC-layer approaches regardless of the number of tags

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Zeng
AU  - Haifeng Wu
AU  - Chuanxi Xing
PY  - 2018/03
DA  - 2018/03
TI  - Unsupervised Clustering Separation in Cross-Layer Approach for UHF RFID Tag Collision Recovery
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 231
EP  - 235
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.54
DO  - 10.2991/acaai-18.2018.54
ID  - Zeng2018/03
ER  -