Enhanced Identification Algorithm Based on Dynamic Slots Collision Tracking in Radio Frequency Identification Systems

Abstract

Radio frequency identification (RFID) technology is one of the key enabling technologies to realize the 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 (EDSCT) 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.