| The RFID (Radio Frequency Identification) technology is one of the pillars of the Internetof Things technologies. It has also been applied to more and more civil applications from thepromotion of the Internet of Things in recent years. It is generally known that RFID has beenlisted as one of the top ten promising technologies in the twenty-first century. as the technologyimproves, it has become be a significant development in terms of low-cost manufacturing,miniaturization, low-power design, antenna design. And the RFID technology began to showtheir charm in all fields of civil, under the strong support of the Wal-Mart and other giantenterprises. However, radio communications are naturally unreliable and encumber somespecial applications demanding large-scale deployment of RFID. Its potential applicationsshould have been fantastic, but its readability rate has been most seriously affected by largerscale, a greater range of applications.This paper is to improve the readability rate of the RFID reader. This is a very basic issueof the RFID technology, and it is industry-recognized technical difficulties. Many scholars tryto solve this challenging problem by working on antenna technology, communicationstechnology, and chip technology. These techniques are used to improve physical RFIDreadability rate has played an important role, but they have certain technical bottleneck whenimproving the readability rate is even more difficult by from these areas.This paper is based on data mining, probability statistics and other technology throughautomatic recovery EPC to reduce the number of interactions between the reader and tags toimprove the readability rate. Our algorithm has faster read rate, longer reading distances, thanthe traditional reading RFID tag algorithm, and our algorithm has relatively stable performancein different channels. Simulation results show that our algorithm readability rate can beimproved35percent or more when the bit error rate is more than0.5percent. |
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