Solving the Problem of Collision in RFID using Fuzzy Theory

• Main Authors: Wan-Wen Lu, 盧婉雯
• Other Authors: Kuo-Hsien Yeh
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/88069799533278843404

碩士 === 立德大學 === 資訊工程研究所 === 97 === This thesis explains the use of Fuzzy theory to solve the problem of collision in RFID (Radio Frequency Identification). The so-called collision means that the reader reads two or more tags within its range and fails to recognize them. Due to the inefficiency to read a tag at a time, there are many anti-collision algorithms which intend to solve this problem. Our method is based on one of these algorithms called Framed slotted ALOHA to improve efficiency. The algorithm of Framed slotted ALOHA is to use TDMA (Time Division Multiple Access) to cut the frame into n time slots which can respond a tag individually. By doing so, the problem of collision can be reduced as well as the efficiency since the frame size is fixed. We fuzzify 2 parameters, i.e. slot number and empty slot number in the frame and use fuzzy inference to modify the time slot number in the next frame in order to improve the efficiency. The experiments show that the results of our algorithm are better when compared with Framed slotted ALOHA and Adaptive frame slotted ALOHA.