| Radio frequency identification (RFID) technology is a network technology using wireless to identify the object, and being one of the technologies to promote the development of IOT (internet of things) applications quickly. However the tags recognition success rate of radio frequency identification system is not high, which is due to the collision of tag identification. If we can solve the problem of tag identification collisions, the RFID system identification efficiency will be improved to a great extent, and RFID will be more widely used. This paper systematically studies the existing tag anti-collision algorithms, and proposes two improved schemes based on the original algorithms, which improve the efficiency of system identification.Firstly in the paper, a brief introduction of RFID system and the related technologies are showed, and the coding principle of the tag are described, and then the reason of the collision in the RFID system were analyzed and the existing tag anti-collision algorithms are expounded. Studding and analyzing these existing tag anti-collision algorithms based on ALOHA, it is concluded that the selection of timeslot for tag data transmission in those algorithms is very random, and these makes the system recognition rate is very low, the top only 36.8%.This paper proposes two improved algorithms. Increasing random numbers by each tag generating, and regularity choosing a random number in tag recognition, the first improved algorithm reduces the empty timeslot of the RFID system, and increases successful timeslot so that it improves the efficiency of tags identification to 45.3%. Using remainder of the tag collision sequences to choice the timeslot, another algorithm effectively reduces the probability of tag collision, so as to improve the identification efficiency of RFID system.Finally, MATLAB simulation experiments are showed in this paper. It Comparisons and analyses the two improved algorithms and the most identification efficiency of dynamic frame slot ALOHA tag anti-collision algorithm on different performance aspects such as recognition efficiency and the number of polling to identify all tags so on. These verify the advantages of the two improved algorithm. |