| Author: | Wang, Kuo |
| Title: | Fast missing tag identification |
| Advisors: | Lou, Wei (COMP) |
| Degree: | M.Sc. |
| Year: | 2016 |
| Subject: | Radio frequency identification systems. Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Computing |
| Pages: | viii, 65 pages : color illustrations |
| Language: | English |
| Abstract: | RFID technology has been widely used in warehouse management and inventory control. Missing items problem due to theft or vendor fault has caused great loss in these industries. Missing tag identification protocol aims to provide an efficient solution to solve this problem. Some prior work has been done on detection or identification of missing tags in large set. In all protocols, P-MTI is the state of the art protocol with the best time performance by utilizing the physical-layer information. Our approach has made two contributions to further improve the time efficiency of identifying missing tags in multiple readers scenario. One is using signature to further develop the potential in one time slot. The other one is using bloom filter and virtual bloom filter to high efficiently identify some tags with a few false positive rate. Signature could further develop the potential of collision slots. The signature could be detected simultaneously. The signature could have quite a lot of design. With the help of signature, more valid information we could get from RFID tags on average time. It could be considered as divided the time slots by the signature space. The throughput of the algorithm increased as a result. Bloom filter is a data structure with high spatial efficiency. The bloom filter is applied in two parts. It could filter out amount of tags efficiently with a predefined false positive rate. All identified tags should be silenced to avoid affecting further detection. Bloom filter could build a bit stream to silence those tags with high possibility without affecting any unidentified tags. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28572828.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.74 MB | Adobe PDF | View/Open |
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