Group coding of RF tags to verify the integrity of group of objects

Yuki Sato, J. Mitsugi, Osamu Nakamura, J. Murai
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引用次数: 15

Abstract

RFID is an essential technology to uniquely identify physical objects. In many practical business processes using RFID, we check not only individual objects but also check if there is no missing objects and no extra objects in a group of objects. While individual objects identifications are done by using RFID, group verifications are usually done by looking up a shipping list or corresponding EDI data which require a network connection. In this paper, we propose “group coding of RF tags” by which we can verify the integrity of a group of objects just by writing additional data in RF tags' memory. The additional data is computed from unique IDs of objects that belong to the group. We propose fundamental and general group codings. With the fundamental group coding, we can check if the integrity of a group of objects is preserved or not. It is a parity check of hashes of unique IDs in a group. We also propose general group coding by extending the fundamental group coding. With the general group coding, we can estimate the number of missing objects if the integrity of a group is not verified. The strength of the missing number estimation can be controlled by the size of data written to RF tags. It can be considered as a Low Density Parity Check (LDPC) in physical objects. The theory of group coding is confirmed by a numerical simulation and an experiment. It is shown by the simulation and experiment that we can detect 10 missing RF tags out of 20 RF tags with 99.5% reliability by writing 96-bit data into each RF tags besides its 96-bit unique ID.
组编码射频标签,以验证组对象的完整性
RFID是唯一识别物理对象的关键技术。在使用RFID的许多实际业务流程中,我们不仅检查单个对象,还检查一组对象中是否没有丢失的对象和多余的对象。虽然单个对象的识别是通过使用RFID来完成的,但组验证通常是通过查找运输清单或相应的EDI数据来完成的,这些数据需要网络连接。在本文中,我们提出了“射频标签的分组编码”,通过在射频标签的内存中写入额外的数据,我们可以验证一组对象的完整性。附加数据是根据属于该组的对象的唯一id计算的。我们提出基本和一般群编码。使用基本的组编码,我们可以检查一组对象的完整性是否被保留。它是对组中唯一id的哈希值进行奇偶校验。通过对基本群编码的扩展,提出了一般群编码。使用一般的分组编码,我们可以在未验证分组完整性的情况下估计缺失对象的数量。缺失数估计的强度可以通过写入射频标签的数据大小来控制。它可以看作是物理对象中的低密度奇偶校验(LDPC)。通过数值模拟和实验验证了群编码的理论。仿真和实验表明,除了每个射频标签的96位唯一ID外,我们还可以在每个射频标签中写入96位数据,从而以99.5%的可靠性检测出20个射频标签中的10个缺失射频标签。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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