Idle Slots Skipped Mechanism based Tag Identification Algorithm with Enhanced Collision Detection

In this article, a new Aloha-based tag identification protocol is presented to improve the reading efficiency of the EPC C1 Gen2-based UHF RFID system. Collision detection (CD) plays a vital role in tag identification process which determines the efficiency of anti-collision protocols since most Aloha-based protocols optimize the incoming frame length based on the collisions in current frame. Existing CD methods are ineffective in identifying collision, resulting in a degradation of identification performance. Our proposed algorithm adopts an enhanced CD (ECD) scheme based on the EPC C1 Gen2 standard to optimize identification performance. The ECD method can realize timely and effective CD by detecting the pulse width of the randomly sent by tags. According to the ECD, the reader detects the slot distribution and predicts tag cardinality in every collision slot. The tags involved in each collision slot are identified by independently assigned sub-frames. A large number of numerical results show that the proposed solution is superior to other existing anti-collision protocols in various performance evaluation metrics. Keywords: RFID, Anti-collision, Collision detection, Slot efficiency This work is supported by the Natural Science Foundation of China (No.61802196, 61972207); the Natural Science Foundation of Jiangsu Province (No.BK20180791); the Natural Science Foundation of Jiangsu Higher Education Institution of China (No. 17KJB510036); and the Startup Foundation for Introducing Talent of NUIST This work is also supported in part by Soft Science Program of China Meteorological Administration, Priority Academic Program Development of Jiangsu Higher Education Institutions, and Engineering Research Center of Digital Forensics, Ministry of Education. This work is in part supported by the Natural Science Foundation of Shandong Province (No.ZR2018LF007); Shandong Provincial Key Research and Development Program (SPKR&DP)(No.2019GNC106027).