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Radio frequency identification (RFID) study of anti-collision algorithm

Author: YangHeng
Tutor: SuFu
School: Southwest Petroleum University
Course: Oil and gas measurement and control engineering
Keywords: Automatic identification Radio frequency identification Anti-collisionalgorithm MATLAB
CLC: TP391.44
Type: Master's thesis
Year: 2012
Downloads: 105
Quote: 0
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Abstract


In recent years, automatic identification method is quickly populaized and promoted in the sale of goods and enterprise production, materials circulation areas.The mission and purpose of automatic identification is to provide information on the subject identified as individuals, animals and goods.With the popular application of the radio technology and large scale integrated circuits during the last decade, Radio Frequency Identification (RFID) which is an advanced automatic recognition and data collection technology is developed. The RFID technology can take advantage of the radio waves to identify the high efficient automatic recognition of the people and animals or the goods. The basic principle of RFID is to use the electromagnetic coupling between reader and electronic tags to realize data communication, so as to achieve the electronic tag and the representatives of the object identification purposes.Firstly, this paper presents a simple introduction to the theory of the composition, classification, working principle, data integrity and security and technical standards for radio frequency identification system, and then focuses on the existing anti-collision algorithm in RFID, various existing the algorithm performance analysis and simulation and analyzes their advantages and disadvantages. Finally, it combines these two basic algorithms ALOHA algorithm and binary-tree searching algorithm and proposes the improved algorithm.The improved algorithm combines the advantages of two basic algorithms:probabilistic algorithms and deterministic algorithms.According to the deficiencies of the existing algorithm and utilization of grouping capabilities, it improves system efficiency of the query tree algorithm. The final chapter of the paper proposes the principle of new algorithm, through the platform of MATLAB simulation, the results show that the system efficiency of the new algorithm is superior to the existing algorithms.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Optical pattern recognition devices
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