A Collision Avoidance Identification Algorithm for Mobile RFID Device

Radio Frequency Identification (RFID) is a widely used wireless communication technology. In terms of mobile RFID tags, the relative position between the tags and the reader changes, and consumers can obtain product-related information in tags by using readers. Anti-collision is an important scheme for readers to identify RFID tags. Tag estimation is at the core of the efficient anti-collision process, especially when tags move. In this paper, we propose a Mobile tags Identification Procedure model (MTIP), and establish a feasible mobile tags estimation model based on MTIP. In the mobile tags estimation model, we use superposition principle of Poisson process to solve the tag estimation problem. Based on these models, a new anti-collision algorithm specifically for the mobile RFID tags is proposed. Performance evaluation shows that the proposed algorithm significantly outperforms classical Q algorithm of the Electronic Product Code Class-1 Generation-2 system (EPC-C1G2) and the recent Symbolic Single Resolution Blocking (SSRB) algorithm in terms of success-rate and achieves similar efficiency for static RFID system.