An Efficient and Easy-to-Implement Tag Identification Algorithm for UHF RFID Systems
| Autor: | Weidong Yi, Jian Su, Yongrui Chen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Real-time computing Frame (networking) 020206 networking & telecommunications Throughput 02 engineering and technology Computer Science Applications Identification (information) 020901 industrial engineering & automation Ultra high frequency Aloha Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation Radio-frequency identification Electrical and Electronic Engineering business Throughput (business) Algorithm |
| Zdroj: | IEEE Communications Letters. 21:1509-1512 |
| ISSN: | 1089-7798 |
| DOI: | 10.1109/lcomm.2017.2649490 |
| Popis: | In this letter, a novel sub-frame-based dynamic frame slotted ALOHA (DFSA) algorithm is proposed for efficient tag identification based on EPC C1 Gen2 radio frequency identification (RFID) standard. Through the observation of slot states in a sub-frame, the reader estimates the tag number, and quickly adjusts the frame length to match the quantity of backlog. Once the appropriate frame length is observed, the algorithm will return to traditional DSFA. We use the modified maximum a posteriori probability (MAP) method for the estimation of tag quantity to improve the accuracy. To reduce the computation complexity of traditional MAP, we use tables to store estimation numbers. Due to the length strict of sub-frames, only a relatively small size of memory is required. Simulation results show that dynamic sub-frame MAP can improve the system utility (approximately 0.36) and reduce the computation complexity, only with an addition of less than 3-kB memory. |
| Databáze: | OpenAIRE |
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