@inproceedings{2ce9d1fed95e406681c6cf17593d2d5e,
title = "A Capture Aware Splitting Tree Protocol for Large-Scale RFID Tag Identification",
abstract = "As one of the key technologies of IoT network, RFID has been widely applied in many areas, such as warehouse management, logistics tracking, pharmaceutical monitoring and so on. In this work, we focus on solving the efficient and reliable tag identification under capture effect. We proposed a capture aware splitting tree (CST) protocol and build up capture model for passive UHF RFID systems. Both theoretical analysis and simulation comparisons are presented to demonstrate the effectiveness of the proposed protocol. Compared with existing works, CST reduces the identification by at least 15%.",
keywords = "capture effect, RFID, splitting tree, tag identification",
author = "Daishu Yuan and Lijuan Zhang and Lei Lei and Nan Zhao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 20th IEEE International Conference on Communication Technology, ICCT 2020 ; Conference date: 28-10-2020 Through 31-10-2020",
year = "2020",
month = oct,
day = "28",
doi = "10.1109/ICCT50939.2020.9295954",
language = "English",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "83--87",
booktitle = "2020 IEEE 20th International Conference on Communication Technology, ICCT 2020",
address = "United States",
}