Dynamic frame slotted ALOHA (DFSA) is a popular anti-collision technique to resolve a tag collision problem in ultrahigh-frequency (UHF) radio-frequency identification (RFID) systems.In DFSA

the reader needs to accurately estimate tag backlog and set a new frame size for identifying the backlog.Thus

collision detection (CD) and tag backlog estimation play important roles in DFSA.Existing CD schemes do not respond efficiently enough to detect a collision and result in a degradation of identification performance.To reduce computation load and improve identification performance

a feasible anti-collision algorithm that combines collision detection and tag backlog estimation is designed to make the performance more efficient.Theoretical analysis and simulation results show that the performance of the proposed algorithm is better than most existing anti-collision solutions.The results obtained were useful for the design of fast

efficient readers.