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RFID Anti-Collision Method Based on Particle Swarm Optimization and Support Vector Machine

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Abstract:

RFID anti-collision method based on particle swarm optimization and support vector machine is presented in the paper. Support vector machine is a new detection technology,which is applied to RFID anti-collision detection. Particle swarm optimization algorithm is applied to choose the appropriate parameters of support vector machine. Particle swarm optimization algorithm can make the particle move toward the optimal resolution based on the history best experiences of each particle and global best position in swarm.The proposed RFID anti-collision structure is mainly composed of protocol processing module, interface module, RFID anti-collision method and serial-parallel conversion.The testing results show that RFID collision detection accuracy of particle swarm optimization and support vector machine than that of traditional support vector machine and BP neural network.

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Periodical:

Applied Mechanics and Materials (Volumes 170-173)

Pages:

3398-3401

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.170-173.3398

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Online since:

May 2012

Authors:

Wen Ge Zhao

Keywords:

Anti-Collision, Particle Swarm Optimization Algorithm (PSO), Radio Frequency Identification (RFID), Support Vector Machine (SVM)

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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References

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