@inproceedings{3057040e20c94c7fb0b9bf328d9ab88d,
title = "Performance analysis of binary search based RFID anti-collision algorithms",
abstract = "Radio frequency identification technology (RFID) is currently widely used in different applications such as inventory management, tracking or monitoring because of its high identification quality and low-cost. However, one of the key issues affecting the efficiency of RFID systems is tag collision. Among several solutions for tag collision, binary tree based anti-collision algorithms are commonly used. This paper presents a performance analysis of a list of recently proposed binary tree based anti-collision algorithms. The performance analysis is based on three criteria that include the search time, the data traffic and the system efficiency. The analysis shows a wide range of performances and that all anti-collision algorithms are applicable in different situations depending on the number of tags to be identified. Results show that, the adaptive-N tree and the optimized binary search algorithms offer the best performances.",
keywords = "anti-collision, binary search, performance analysis, RFID",
author = "Meryle Mvoulabolo and Mathaba, \{Tebello N.D.\} and Odhiambo, \{Marcel O.\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2019 ; Conference date: 21-11-2019 Through 22-11-2019",
year = "2019",
month = nov,
doi = "10.1109/IMITEC45504.2019.9015841",
language = "English",
series = "Proceedings - 2019 International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2019 International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2019",
address = "United States",
}