Design And Implementation Of A RFID Data Cleaning Model Based On P2P Architecture

With the RFID technology booming today, requirements for data processing for application systems is growing, among which data redundancy processing and useless flood of data processing is a key technology for signal identification and processing, for in dense reader environment, the reader will read a large amount of the same label data in a short period of time. These redundant data may be caused by a reader continuously read a same label in a very short period of time, or led by different readers reading label data with a same label. Thus there is a lot of redundancy label data in the system, these abundant useless data transmitted to the back-office systems, seriously affect the recognition accuracy and recognition efficiency of radio frequency identification systems, hinder the development of RFID technology. Aimed at the solutions of readers monitoring and obtaining label data redundancy, this paper starts from the interaction among readers in the intense reader environment, and puts forward a RFID date clearing model based on P2P which was achieved by DHT.This paper gives a deep research and analysis about the working principle and technical features of RFID and P2P, explores the general points of these two technologies, and studies the advantage provided by interactions among readers. There are natural relating concerns among readers in the typical RFID reading intense environment, and this makes it possible that bringing in P2P technology and taking advantage of the distributed pattern it provides to deal with the reading data redundancy problem exists among readers in the present RFID intense reader network environment.Employing the DHT mechanism of the P2P architecture, this paper presents a DRAIL model to solve the problem of data redundancy. In this system every reader is not only a client side which can make a query request to other readers, but also a serve side which can response to other reader’ request. Compared to traditional reader, the reader in DRAIL model system is more delicate and smarter. The main functions of the reader include achieving a DHT network coverage, intelligently processing dynamic changes of new reader nodes under overlay network, removing redundant data and so on. Through the simulation experiment, we indicate that the ability to process redundancy data, average responding time and accuracy of this system has been obviously developed than the traditional data redundancy processing methods.