Identification of RFID Tags in Framed-Slotted ALOHA with Robust Estimation and Binary Selection

Abstract

In RFID systems, tag collision resolution is significantly important for fast tag identification. In this letter, we propose an accurate and robust tag estimation method and an effective tag anti-collision protocol. Performance analysis and simulation results show that the proposed estimation and anti-collision algorithm consumes 10-15% less time slots than the binary tree protocol and dynamic framed slotted ALOHA (DFSA). The proposed algorithm has also tolerance to the inaccuracy of tag estimation