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Multi-classification-based lost tag detection method in RFID (Radio Frequency Identification Device) system

A detection method and a multi-classification technology, applied in the field of the Internet of Things, can solve problems such as inappropriateness and increase computational complexity, and achieve the effect of improving detection speed and reducing system complexity

Pending Publication Date: 2021-06-15
YANGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] If the method of allocating multiple collision time slots is adopted, a collision resolution protocol needs to be designed to resolve collision time slots during detection. Such a protocol requires complex operations in the decoder, which either greatly increase the computational complexity or require additional Hardware support, which is definitely not suitable for low-cost RFID systems

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  • Multi-classification-based lost tag detection method in RFID (Radio Frequency Identification Device) system
  • Multi-classification-based lost tag detection method in RFID (Radio Frequency Identification Device) system
  • Multi-classification-based lost tag detection method in RFID (Radio Frequency Identification Device) system

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Embodiment Construction

[0028] Such as Figure 1-2 As shown, consider an RFID system with 100 groups and 500 tags in each group, the number of missing tags in each group is selected from 2 to 10, and then we use SSDA, ESSDA, and the method of the present invention respectively Detect the tags of the system, and average the experimental results 20 times. The specific steps of each round of detection are as follows:

[0029] Step 1) The first s bits of the unique 96-bit ID of each tag are regarded as the group ID, and the group ID is used to record the category information of the encoded item. Tags with the same group ID are classified into the same group. Initially, all tag IDs are marked as Unidentified, the agreement is divided into several stages, and each stage is divided into several rounds;

[0030] Step 2) At the beginning of each stage i, the reader selects two groups, one is called the master group, and the other is called the slave group. Tags with the same group ID information participate...

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Abstract

The invention discloses a method for detecting lost tags based on multi-classification in an RFID system, which optimizes ESSDA and SSDA of the existing method for detecting the lost tags based on multi-classification according to an ALOHA communication protocol, introduces the concepts of a master group and a slave group, and simultaneously identifies the tags of the slave group by using unused space time slots of the tags of the master group and introducing the tags of the slave group. The method disclosed by the invention is simple and effective, and the speed of detecting the lost tags in the multi-classification large-scale RFID system is greatly improved.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a multi-classification-based detection method for missing tags in an RFID system. Background technique [0002] RFID (Radio Frequency Identification) technology is a non-contact automatic identification technology and an indispensable part of the Internet of Things technology. It has a wide range of applications in warehouse management, logistics distribution, target tracking and other fields. In practical applications, tags (with unique electronic codes) can be attached to commodities or goods to record item information, such as production date, item type or trademark information, so that the tag can be scanned by a reader to check the item status. However, due to negligence in the process of transportation and transfer, or the untrustworthy behavior of the operator, the goods may be lost, which may cause huge economic losses to the asset owner. In reality, commodities ar...

Claims

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Application Information

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IPC IPC(8): G06K7/10
CPCG06K7/10029G06K7/10297G06K7/10465
Inventor 王斌段国庆
Owner YANGZHOU UNIV