Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing

Sung Ho JANG  Hi Sung CHOUN  Heung Seok CHAE  Jong Sik LEE  

IEICE TRANSACTIONS on Communications   Vol.E91-B   No.11   pp.3560-3568
Publication Date: 2008/11/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.11.3560
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Emerging Technologies for Practical Ubiquitous and Sensor Networks)
event filtering,  fuzzy logic control,  quantization-based system,  RFID data processing,  RFID middleware,  

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RFID event filtering is an important issue of RFID data management. Tag read events from readers have some problems like unreliability, redundancy, and disordering of tag readings. Duplicated events lead to performance degradation of RFID systems with a flood of similar tag information. Therefore, this paper proposes a fuzzy logic-based quantized event filter. In order to reduce duplicated tag readings and solve disordering of tag readings, the filter applies a fuzzy logic system to control a filtering threshold by the change in circumstances of readers. Continuous tag readings are converted into discrete values for event generation by the filtering threshold. And, the filter generates as many events as the discrete values at a point of event generation time. Experimental results comparing the proposed filter with existing RFID event filters, such as the primitive event filter and the smoothing event filter, verify effectiveness and efficiency of the fuzzy logic-based quantized event filter.