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An efficient approach to processing massive RFID data in supply chain

Mahdin, Hairulnizam and Md Fudzee, Mohd Farhan and Ramli, Azizul Azhar and Salamat, Mohamad Aizi and Kasim, Shahreen (2014) An efficient approach to processing massive RFID data in supply chain. In: International Integrated Engineering Summit (IIES 2014), 1-4 December 2014, Universiti Tun Hussein Onn Malaysia, Johor.

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Abstract

Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. This is due to repetitive readings which are unnecessary because it contains only the same information. Thus, an approach to remove repetitive readings in supply chain is paramount to minimize massive data storage that could affect query performances. We propose a simplified approach, which is suitable for a wide range of application scenarios. Experimental evaluations show that our approach is effective and efficient in terms of the removing duplicate readings and compressing the massive data significantly

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: RFID; bloom filter; data filtering; sensor; supply chain
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6540-6571 Radio
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mrs. Nurhayati Ali
Date Deposited: 25 Jun 2015 07:22
Last Modified: 25 Jun 2015 07:22
URI: http://eprints.uthm.edu.my/id/eprint/6492
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