Reducing false negative reads in RFID data streams using an adaptive sliding-window approach.

Reducing false negative reads in RFID data streams using an adaptive sliding-window approach.
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DOI:
10.3390/s120404187
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发表时间:
2012
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Vermaak H
Vermaak H
中科院分区:
其他
文献类型:
--
作者:
Massawe LV;Kinyua JD;Vermaak H

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RFID阅读器产生的数据流的不可靠性是限制RFID技术广泛采用的主要因素之一。因此,RFID数据清理是RFID中间件系统中的基本任务,以便减少阅读错误,并允许使用这些数据流来对它们所表示的物理世界进行正确的解释和分析。在本文中,我们提出了一个自适应的滑动窗口为基础的方法称为WSTD,这是能够有效地应对环境变化和标签动态。我们的实验结果证明了所提出的方法的有效性。
Unreliability of the data streams generated by RFID readers is among the primary factors which limit the widespread adoption of the RFID technology. RFID data cleaning is, therefore, an essential task in the RFID middleware systems in order to reduce reading errors, and to allow these data streams to be used to make a correct interpretation and analysis of the physical world they are representing. In this paper we propose an adaptive sliding-window based approach called WSTD which is capable of efficiently coping with both environmental variation and tag dynamics. Our experimental results demonstrate the efficacy of the proposed approach.
改进了滑动窗口上数据流重复项的近似检测
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