计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 359-362.

• 网络与通信 • 上一篇    下一篇

基于RFID标签的防碰撞算法改进

侯培国, 王志轩, 严晨   

  1. (燕山大学电气工程学院 河北 秦皇岛066004)
  • 出版日期:2019-11-10 发布日期:2019-11-20
  • 通讯作者: 王志轩(1992-),男,硕士,主要研究方向为射频识别技术研究,E-mail:983273706@qq.com。
  • 作者简介:侯培国(1968-),男,教授,博士生导师,主要研究方向为物联网、射频识别;严晨(1991-),男,硕士,主要研究方向为射频识别技术应用。
  • 基金资助:
    本文受国家自然科学基金青年基金项目(6160051334,61702051)资助。

Improvement of Anti-collision Algorithm Based on RFID Tag

HOU Pei-guo, WANG Zhi-xuan, YAN Chen   

  1. (School of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)
  • Online:2019-11-10 Published:2019-11-20

摘要: 无线射频识别(Radio Frequency Identification RFID)技术是物联网技术中的关键技术,为解决RFID系统中的多标签碰撞问题,文中提出了一种基于组合混沌映射(MDFSA)的帧时隙Aloha防碰撞算法。通过该算法,系统所得到的伪随机数更加均匀,标签对各个时隙的选择更加均匀。通过统计验证,仿真结果表明MDFSA算法提高了系统的稳定性和效率,减少了碰撞次数。与传统的DFSA算法相比,该算法将系统的效率最大提高了33%。随着标签数量的增加,所提算法的性能更加稳定,优势更加显著。其适用于大型RFID标签快速识别系统。

关键词: Aloha, RFID, 防碰撞算法, 混沌序列, 伪随机数发生器

Abstract: Radio Frequency Identification (RFID) technology is a key technology in the Internet of Things.To solve the multi-tag collision problem in RFID system,this paper proposed a frame time slot Aloha anti-collision algorithm based on combined chaotic map (MDFSA).Through the algorithm,the pseudo-random number obtained by the system is more uniform,the selection of labels for each time slot is more uniform.Through statistical verification,the simulation results show that the MDFSA algorithm improves the stability and efficiency of the system and reduces the number of collisions.Compared with traditional DFSA algorithm,the proposed algorithm increases the efficiency of the maximum system by 33%.As the number of tags increases,the performance of the algorithm is more stable and the advantages are more significant.It is suitable for large RFID tag rapid identification systems.

Key words: Aloha, Anti-collision algorithm, Chaotic system, Pseudo random number generator, RFID

中图分类号: 

  • TP391
[1]SAARINEN K,BJORNINEN T,UKKONEN L,et al.Relia-bility Analysis of RFID Tags in Changing Humid Environment [J].IEEE Transactions on Components,Packaging and Manufacturing Technology,2014,4(1):77-85.
[2]郎为民,褚开锋,吴培仁,等.射频识别的发展历史[J].电信快报:网络与通信,2019(1):2-5.
[3]ŠOLICP,BLAŽEVICZ,ŠKILJO M,et al.Gen2 RFID as IoT Enabler:Characterization and Performan-ce Improvement[J].IEEE Wireless Communications,2017,24(3):33-39.
[4]JAYADI R,LAI Y C,LIN C C,et al.Efficienttime oriented anti-collision protocol for RFID tag identification[J].Computer Communications,2017,112:141-153.
[5]王超梁,赵成,周鹏.物联网RFID多标签识别防碰撞算法研究与实现[J].物联网技术,2018,8(1):40-45.
[6]SILVA I,VIEGAS C.An Effective Extension of Anti-Collision Protocol for RFID in the Industrial Internet of Things (IIoT)[J].Sensors,2018,18(12):4426.
[7]周少珂,邓淼磊.ALOHA标签防碰撞算法综述[J].计算机工程与应用,2017(14):9-17.
[8]卢炼.RFID防碰撞算法研究[J].佳木斯大学学报(自然科学版),2017,35(3):385-388.
[9]XIONG T W,TAN X,YAN N,et al.Modeling and simulation of RTLS based on UHF RFID [J].Journal of System Simulation,2011,23(1):212-216.
[10]LEE S R,JOO S D,LEE C W.An enhanced dyna-mic framed slotted ALOHA algorithm for RFID tag identification[C]∥The Second Annual International Conference on Mobile and Ubiquitous Systems:Networking and Services.IEEE Computer Society,2005.
[11]FU Y,QIAN Z H,MENG J,et al.Frame slot-ted Aloha anti-collision algorithm based on continuous slot prediction [J].transactions of the Chinese Academy of Sciences,2016,9(44):2081-2086.
[12]张小红,肖娟凤.无源RFID系统标签防碰撞优化算法研究[J].系统仿真学报,2014,26(6):1320-1326.
[13]王阳,吴海锋,曾玉.稠密RFID标签环境下捕获感知贝叶斯标签估计[J].计算机研究与发展,2016,53(6):1325-1331.
[14]陈荣征.改进的基于动态帧时隙ALOHA防碰撞算法[J].齐齐哈尔大学学报(自然科学版),2016(1):21-25.
[15]CHEN W T.An Accurate Tag Estimate Method for Improving the Performance of an RFID Anticollision Algorithm Based on Dynamic Frame Length ALOHA[J].IEEE Transactions on Automation Scienceand Engineering,2009,6(1):9-15.
[16]闫永梅,郝润芳,张朝霞,等.基于 Tent 映射的伪混沌序列的产生和分析[J].太原理工大学学报,2008,39(5):66-69.
[17]KATZ O,RAMON D A,WAGNER I A.A robust random number generator based on a differential current-mode chaos[M].IEEE Educational Activities Department,2008.
[18]BONANNO C,MENCONI G.Computational information forthe logistic map at the chaos threshold[J].Discrete and Continuous Dynamical Systems-Series B (DCDS-B),2002,2(3):415-431.
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