Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/160411
Title: Revisiting unknown RFID tag identification in large-scale internet of things
Authors: Daqiang Zhang;Zongjian He;Yuming Qian;Jiafu Wan;Di Li;Shengjie Zhao
subject: physical objects|unknown tag identification|large-scale IoT systems|object tracking|data transmission|Bloom-filter-based architecture|RFID|automatic stock management
Year: 2016
Publisher: IEEE
Abstract: RFID is a major prerequisite for the IoT, which connects physical objects with the Internet. Unknown tag identification is a fundamental problem in large-scale IoT systems, such as automatic stock management and object tracking. Recently, several protocols have been proposed to discern unknown tags. In this article, we overview the underlying mechanism of previous protocols, and pinpoint the challenging issues together with possible solutions. Then we propose a scheme using a Bloom filter that significantly reduces the data transmission during the identification process. We further present the preliminary results to illuminate the Bloom-filter- based architecture.
Description: 
URI: http://localhost/handle/Hannan/160411
ISSN: 1536-1284
volume: 23
issue: 5
More Information: 24
29
Appears in Collections:2016

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Title: Revisiting unknown RFID tag identification in large-scale internet of things
Authors: Daqiang Zhang;Zongjian He;Yuming Qian;Jiafu Wan;Di Li;Shengjie Zhao
subject: physical objects|unknown tag identification|large-scale IoT systems|object tracking|data transmission|Bloom-filter-based architecture|RFID|automatic stock management
Year: 2016
Publisher: IEEE
Abstract: RFID is a major prerequisite for the IoT, which connects physical objects with the Internet. Unknown tag identification is a fundamental problem in large-scale IoT systems, such as automatic stock management and object tracking. Recently, several protocols have been proposed to discern unknown tags. In this article, we overview the underlying mechanism of previous protocols, and pinpoint the challenging issues together with possible solutions. Then we propose a scheme using a Bloom filter that significantly reduces the data transmission during the identification process. We further present the preliminary results to illuminate the Bloom-filter- based architecture.
Description: 
URI: http://localhost/handle/Hannan/160411
ISSN: 1536-1284
volume: 23
issue: 5
More Information: 24
29
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7721738.pdf197.88 kBAdobe PDFThumbnail
Preview File
Title: Revisiting unknown RFID tag identification in large-scale internet of things
Authors: Daqiang Zhang;Zongjian He;Yuming Qian;Jiafu Wan;Di Li;Shengjie Zhao
subject: physical objects|unknown tag identification|large-scale IoT systems|object tracking|data transmission|Bloom-filter-based architecture|RFID|automatic stock management
Year: 2016
Publisher: IEEE
Abstract: RFID is a major prerequisite for the IoT, which connects physical objects with the Internet. Unknown tag identification is a fundamental problem in large-scale IoT systems, such as automatic stock management and object tracking. Recently, several protocols have been proposed to discern unknown tags. In this article, we overview the underlying mechanism of previous protocols, and pinpoint the challenging issues together with possible solutions. Then we propose a scheme using a Bloom filter that significantly reduces the data transmission during the identification process. We further present the preliminary results to illuminate the Bloom-filter- based architecture.
Description: 
URI: http://localhost/handle/Hannan/160411
ISSN: 1536-1284
volume: 23
issue: 5
More Information: 24
29
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7721738.pdf197.88 kBAdobe PDFThumbnail
Preview File