Performance Evaluation of a Multi-Branch Tree Algorithm in RFID

被引:33
|
作者
Cui, Yinghua [1 ]
Zhao, Yuping [1 ]
机构
[1] Peking Univ, Sch Elect Engn & Comp Sci, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
RFID; anti-collision; binary tree algorithm; multiple branches tree; tag identification;
D O I
10.1109/TCOMM.2010.05.080611
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reading efficiency is one of the key factors to evaluate Radio Frequency Identification (RFID) systems. For the system using multi-branch protocols, the performance would be better if the tags are properly divided into multiple groups. This paper firstly gives the closed-form of system efficiency for binary tree algorithm. Based on the theoretical analysis, the optimal branches number is derived. An efficient multi-branch tree (EMBT) algorithm is proposed subsequently, along with a tag number estimation algorithm and performance evaluation. Both theoretical analysis and simulation results indicate that multi-branch tree algorithm has better performance than the conventional binary tree algorithm. System identification efficiency of the proposed method can achieve above 45%, while that of the binary tree algorithm is only 34.8%.
引用
收藏
页码:1356 / 1364
页数:9
相关论文
共 50 条
  • [2] Multi-branch query tree protocol for solving RFID tag collision problem
    JIAO, Chuan-hai
    WANG, Ke-ren
    Journal of China Universities of Posts and Telecommunications, 2008, 15 (04): : 51 - 54
  • [3] Research on Multi-Branch Image Denoising Algorithm
    Geng, Jun
    Li, Wenhai
    Wu, Zihao
    Sun, Xinjie
    Computer Engineering and Applications, 2023, 59 (24) : 196 - 208
  • [4] Fast and lightweight binary and multi-branch Hoeffding Tree Regressors
    Mastelini, Saulo Martiello
    Montiel, Jacob
    Gomes, Heitor Murilo
    Bifet, Albert
    Pfahringer, Bernhard
    de Carvalho, Andre C. P. L. F.
    21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021, 2021, : 380 - 388
  • [5] Multi-Branch Thinning Congested Pedestrian Detection Algorithm
    Yuan, Heng
    Wang, Jiali
    Zhang, Shengchong
    Computer Engineering and Applications, 2024, 60 (22) : 230 - 239
  • [6] Performance Evaluation of Multi-Branch Multi-Hop Networks with Kth Best Relay Selection
    Hussain, Sk Riyaz
    Naidu, K. Rama
    Renuka, M. Lakshmi
    Sri, S. Padma
    2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1, 2016, : 1213 - 1217
  • [7] An IPv6 Routing Lookup Algorithm Based on Subsection Intensive Compression and Multi-branch Tree
    Pan, Yan
    Wei, Zhonghe
    Zhao, Jianxiu
    Guo, Min
    2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE ICIA 2017), 2017, : 1168 - 1172
  • [8] Performance analysis of multi-branch switched diversity systems
    Yang, HC
    Alouini, MS
    IEEE 55TH VEHICULAR TECHNOLOGY CONFERENCE, VTC SPRING 2002, VOLS 1-4, PROCEEDINGS, 2002, : 846 - 850
  • [9] Fluctuations in Evaluations with Multi-branch Tree Method for Efficient Resource Allocation
    Oyamaguchi, Natsumi
    INTELLIGENT DECISION TECHNOLOGIES, KES-IDT 2021, 2021, 238 : 627 - 637
  • [10] A Chi-MIC Based Adaptive Multi-Branch Decision Tree
    Ye, Jiahao
    Yang, Jingjing
    Yu, Jiang
    Tan, Siqiao
    Luo, Feng
    Yuan, Zheming
    Chen, Yuan
    IEEE ACCESS, 2021, 9 : 78962 - 78972