Title :
An ALOHA-based improved anti-collision algorithm for RFID systems
Author :
Yejun He ; Xiaoye Wang
Author_Institution :
Shenzhen Univ., Shenzhen, China
Abstract :
Tag collision arbitration is considered as one of the critical issues in RFID system design. In order to further improve the identification efficiency of tag anti-collision algorithms in RFID systems, several types of dynamic framed slotted ALOHA (DFSA) anti-collision algorithms are analyzed, and a new anti-collision algorithm is proposed. The proposed algorithm has the ability of identifying the time slot distribution which is selected by the tags within a reader´s interrogation range in advance. Then the free time slots will be skipped when the reader queries each time slot. Also, the colliding tags will be immediately processed with additional time slots. Simulation results show that the proposed algorithm takes fewer total number of time slots and has a higher efficiency of tag identification compared to the other four DFSA anti-collision algorithms.
Keywords :
access protocols; radiofrequency identification; ALOHA-based improved anticollision algorithm; DFSA anticollision algorithms; RFID system design; dynamic framed slotted ALOHA; identification efficiency; reader interrogation range; tag collision arbitration; tag identification; time slot distribution; Algorithm design and analysis; Ferroelectric films; Heuristic algorithms; Nonvolatile memory; Radiofrequency identification; Random access memory; Tagging;
Journal_Title :
Wireless Communications, IEEE
DOI :
10.1109/MWC.2013.6664486