Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Enhanced Dynamic-slots-collision-tracking-based Identification Algorithm in Radio Frequency Identification Systems

Yu-Hsiung Lin and Chiu-Kuo Liang

(Received April 17, 2020; Accepted July 31, 2020)

Keywords: RFID sensors, anticollision algorithm, dynamic slots, collision tracking tree

Radio frequency identification (RFID) technology is one of the key enabling technologies to realize the Internet of Things (IoT). With the capabilities of sensing, wireless communication, and wireless-powered, non-line-of-sight transmission, lightweight RFID sensor tags are a critical enabling technology for future IoT applications, such as logistics, manufacturing, and healthcare. In contrast to alternatives, such as barcodes and QR codes, the radio-frequency-powered identification approach featuring the simultaneous reading of multiple tags allows connected “things” to be identifiable for further data communication and integration. Therefore, an effective anticollision protocol should be developed between the reader and the tags to achieve rapid identification, especially in a system with a large number of RFID sensor tags. The dynamic slots collision tracking (DSCT) algorithm, which is based on a collision tracking technique, can reduce the prefix and the iteration overhead through a time-divided responding scheme. The DSCT protocol performs well when consecutive collisions occur. However, for nonconsecutive collisions, DSCT generates many idle time slots. Thus, the identification time cannot be reduced. In this paper, we present an enhanced DSCT algorithm to reduce the identification time for nonconsecutive collisions. The simulation results reveal that the proposed algorithm can effectively reduce the identification delay and improve the slot efficiency.

Corresponding author: Chiu-Kuo Liang




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