A cleaning method of noise data in RFID data streams
Kongfa Hu, Long Li, Zhipeng Lü · 2013
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.