期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：5-2
出版社：Seventh Sense Research Group
摘要：Radiofrequency identification (RFID) is the use of a wireless noncontact system that uses radiofrequency electromagnetic fields to transfer data from a tag attached to an object, for the purposes of automatic identification and tracking. RFID offers a number of advantages over previous ID systems. For example, unlike barcodes, RFID tags don't require "line of sight" to the tag reader, while barcode scanners need to directly "see" to read the barcode. Standard barcodes only identify the manufacturer and product, not unique items, and RFID allows for individual items to have a unique identifier and can identify many items at once. We presented a new novel approach for inference and compression over the RFID Stream. It address the problem occur in previous work such as incomplete data, handle high volumes of data, and lack in identifying location of objects. This lowlevel substrate offers accurate interpretation of incomplete and noisy raw data. In particular, it infers locations of unobserved objects and interobject relationships using probabilistic algorithms. To handle high data volume, it performs online interpretation, enabling online compression by identifying and discarding redundant data.
关键词：RFID; Privacy; private information retrieval; databases; distributed systems
