Handling RFID Data Using a Data-on-Tag Approach

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Author(s): Sarita Pais (Whitireia Polytechnic, New Zealand)and Judith Symonds (Auckland University of Technology, New Zealand)
Copyright: 2009
Pages: 14
Source title: Auto-Identification and Ubiquitous Computing Applications
Source Author(s)/Editor(s): Judith Symonds (AUT University, New Zealand), John Ayoade (American University of Nigeria, Nigeria)and David Parry (Auckland University of Technology, New Zealand)
DOI: 10.4018/978-1-60566-298-5.ch011

Keywords: Computer Science & IT / Information Science Reference / Mobile and Wireless Computing / Ubiquitous & Pervasive Computing

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Abstract

RFID tags can store more data and can update this data through local processing. This is in contrast to the EPC global standard of data-on-network. In order to illustrate this concept of data-on-tag a single case study of a smart laundry bin is undertaken. The laundry bin is able to process the count of soiled linen tagged with RFID at the time of Pickup. Thus the processing is taking place at the time of data capture and does not depend on the central database with expensive middleware. Further, data modelling for data stored at different objects like linen, laundry bin and pickup PDA is undertaken. Issues and solutions for this are discussed at the end.

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Handling RFID Data Using a Data-on-Tag Approach

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