EPC Gen2 RFID标签防碰撞算法优化

Eleonora Cerciello, G. Massei, L. Paura
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引用次数: 3

摘要

在过去的十年中,RFID(射频识别)技术的扩散显示了其作为各种应用场景的有效解决方案的重要性,例如监控,国土安全,医疗保健,物流以及物联网。实际上,通过仿真进行准确的RFID建模、优化和性能分析是非常必要的。本文提出了EPC第2代RFID规范中标签防碰撞算法的两个创新点:1 . q参数的自适应管理(根据标签数量最大化库存过程的效率)及其通过QueryAdjust命令的通信;静音选项,它在标签识别后使其静音,从而减少每次成功识别后提供给阅读器的负载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of tag anti-collision algorithm for EPC Gen2 RFID
The proliferation of the RFID (Radio-Frequency IDentification) technology in the last decade shows its importance as effective solution for a large variety of application scenarios, such as monitoring, homeland security, healthcare, logistic and last but not the least Internet of Things. Actually, an accurate RFID modeling, optimization and performance analysis via simulation is strongly desired. In this paper, the authors propose two innovations of tag anti-collision algorithm in EPC Gen 2 RFID Specification: i. the adaptive management of Q-parameter (to maximize the efficiency of the inventory procedure depending on the tags number) and its communication by a QueryAdjust command, and ii. the muting option, which silences the tags after their identification with the effect of reducing the offered load to the reader after each successful identification.
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