Research On Key Technology And Theory Of RFID

In recent years, with the rapid development of the Internet of Things, as one of its key technology, RFID (Radio Frequency Identification) technology will also get more and more development. RFID technology has the feature of fast scanning, non-contact identification, penetration and some other characteristics, gradually been widely used in various areas of military, medical, transportation, inventory control, supply chain management and so on. According to an authoritative report statistics, the global RFID market reached$5.25billion in2008, and1.97billion tags were sold. RFID technology has developed from the research stage into the application-driven stage. With the rapid development of RFID technology, there are a lot of problems needing to be solved.Most related work solving the problem of tag cardinality estimation considers deploying only one reader in the system. However, in a practical RFID system, one reader can hardly interrogate all the tags. So this paper studies the problem of tag cardinality estimation in the RFID system which deploys multiple readers. While in the scenario with multiple readers deployed, all the protocols suffer the multiple counting issue (i.e., the tag in the overlapped interrogation region will be counted for more than once). In this paper, we study the problem on how to quickly estimate the number of tags in a large scale RFID system with multiple readers deployed. We adopt an ingenious method to eliminate the impact of multiple counting issue. On the basis, a novel efficient protocol calling Estimator with Multiple Readers (EMR) deployed is proposed.Then, we do a deep research on another practical problem which is called counterfeit tag identification. In some areas, especially in the luxury management industry, each item has a unique label to identify the authenticity of goods. Counterfeit goods not only bring huge economic losses to the consumers, but also give the producers a serious negative impact. Therefore, identification of counterfeit goods has become a very important job. The existing protocols can only detect the existence of counterfeit tag in the system, but can not identify all the counterfeit tags accurately. We propose a method of bloom-filter based counterfeit tag identification protocol (CIP). On the basis, considering about the energy efficiency of the tags, we propose an enhanced counterfeit tag identification protocol (ECIP) which is more energy efficient.