Abstract
The Radio Frequency Identification System (RFID) uses radio waves to transfer data between readers and movable tagged objects. There are variety of applications where RFID data is time-dependent, dynamically changing, in large volumes, and carry implicit semantics. RFID application needs to effectively support such large scale temporal data created by RFID applications. These applications need an explicit temporal data model for RFID data to support tracking and monitoring queries. In addition, they need to have an automatic method to transform the primitive observations from RFID readers into derived data used in RFID-enabled applications. This paper propose an extended temporal and event based data model for such applications.
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Tyagi, S., Ansari, A.Q., Khan, M.A. (2011). Extending Temporal and Event Based Data Modeling for RFID Databases. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Parallel Distributed Computing. PDCTA 2011. Communications in Computer and Information Science, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24037-9_43
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DOI: https://doi.org/10.1007/978-3-642-24037-9_43
Publisher Name: Springer, Berlin, Heidelberg
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