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A cleaning method of noise data in RFID data streams

机译:RFID数据流中的噪声数据清洁方法

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摘要

In recent years, RFID technology is gradually applied to the field of real-time monitoring, positioning, tracking, etc. As the unreliability of RFID data, the development and the application of RFID technology are limited. In certain practical applications, false negative reading can be solved by multi-reading periodically. However, false positive reading (ie, noise) provided the wrong information to high-level RFID applications. For example, readers are installed on the shopping shelf, they send false anti-theft alarms due to false positive reading. False positive reading has seriously affected the promotion and application of RFID technology. Therefore, it is necessary to design an efficient and feasible method to eliminate false positive reading. The paper proposes an efficient cleaning mechanism to solve the false positive problem in RFID data streams. The result of experiment shows that the method is effective and efficient.
机译:近年来,作为RFID数据的不可靠性,RFID技术逐渐应用于实时监控,定位,跟踪等领域。RFID技术的开发和应用是有限的。在某些实际应用中,可以通过定期多读来解决假阴性读数。然而,假读取(即,噪声)向高级RFID应用提供了错误的信息。例如,读卡器安装在购物架上,由于误读数,它们会发送假防盗报警。假阳性阅读严重影响了RFID技术的推广和应用。因此,有必要设计一种消除误报的有效和可行的方法。本文提出了一种有效的清洁机制来解决RFID数据流中的假阳性问题。实验结果表明该方法是有效且有效的。

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