A data processing model for improving RFID application reliability in logistics tracking system

The characteristics of natural radio communications and the disturbances of application environment inevitably lead to the unreliable phenomena of duplicated readings, false positive reading and false negative reading when RFID is applied to logistics tracking system, and numerous unreliable data are generated. To solve this problem, a series of evaluation indexes for evaluating RFID application reliability were put forward, and a layered data processing model was established to improve RFID application reliability, including primitive event processing layer and complex event processing layer. The former receives primitive reading events from the reader-network, cleans redundant events, and thus tidy logic reading events are obtained. And the complex event processing layer detects and corrects false positive reading and false negative reading through setting up application integrity constraint. The results of application show that the model can guarantee the correctness and integrality of the data, and improve RFID application reliability.