Yongxu Piao
ABSTRACT
In RFID system, RFID tags emit data continuously and sensed by RFID access point. RFID data are appears in form of stream data items to RFID host. By this RFID data collecting, RFID system provides identification information of objects which tags attached to users. However, some applications require not only identification information but also monitoring object's status. To address this requirement, RFID sensor tag, which embed sensor device into RFID tag, is used to identify object and measure the object's status. RFID host is responsible for processing sensor tag data stream. Each data item consists of both identification information and sensing information. In RIFD host, Continuous query extract the useful information from the RFID sensor tag data stream. Users registered Continuous queries in RFID host and continuous query executes as every new data item arrives. In this paper, we focus on improvement performance of continuous query processing over RFID Sensor Tag data stream. An efficient technique is proposed for continuous query processing. First we analysis the properties of RFID sensor tag data. Based on RFID sensor tag data properties, we process continuous query in two steps. It respectively leverages query index structure and dynamic query predicates scheduling techniques to improve performance of continuous query processing. Finally, our experimental results show it outperforms the other continuous query processing techniques for RFID sensor tag data stream.
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Index Terms
- Optimization of continuous query processing for RFID sensor tag data stream
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