RFID technology is being applied to the wide field of distributions and logistics for item-level tracking of tagged goods. Recently, spoilage and abnormalities of product in Blood Supply Chain (BSC), Cold Chain Management (CCM) and Hazardous Materials (HAZMAT) Management become issues. To monitor item’s health status is as a crucial issue as to keep track of the item. By augmenting passive RFID tags with sensor nodes, we can easily extend existing RFID systems and reduce operational cost. However, this approach will suffer from high overhead for joining two streaming data in real time. To address this problem, we propose a scheme for continuous query processing to monitor sensing information of tagged items in real-time. It makes integrated stream data from each stream data. And we summarize integrated stream data using MBR, and we make summarized data. It requires comparing the summarized data with registered queries. Finally, we do query processing between integrated stream data and matched query. Experimental results show that our method can handle both RFID tag data and sensing information efficiently.
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- An Efficient Processing Scheme for Continuous Queries Involving RFID and Sensor Data Streams
- Springer Berlin Heidelberg
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