Abstract
Tag identification is a critical operation in large-scale RFID applications. Typically, in the RFID-enabled warehouse, the reader needs to execute tag identifications to obtain the inventory information of numerous tagged items. The existing schemes usually divide the time frame into multiple slots and map each tag to one of them for replying its identity. This imposes serious tag collisions because two or more tags may be mapped to the same slot and their responses corrupt with each other. When tag collision happens, all the collided tags cannot be identified by the reader, which significantly increases the identification delay. To overcome the tag collision problem in the identification process, this paper proposes a Group Tag Identification (GTI) framework to identify grouped tags in both singleton and collision slots. The key novelty of GTI is in leveraging tag-correlation to identify grouped tags in the collision slots without any extra transmission overhead. The main challenge of this work is to overcome the communication and architectural limitation of RFID system in the context of building ID and slot-correlation between tags. Extensive simulations show that GTI significantly reduces the identification delay by up to 40% when compared with the state-of-the-art dynamical frame slotted aloha schemes.
Original language | English |
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Pages (from-to) | 3096 - 3109 |
Journal | IEEE Transactions on Mobile Computing |
DOIs | |
Publication status | Published - Sept 2022 |
Keywords
- Acceleration
- Correlation
- correlation-based identification
- ID encoding
- Indexes
- Mobile computing
- RFID
- RFID tags
- shift hashing
- Supply chains
- Wireless communication
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Electrical and Electronic Engineering