JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 27 Issue 6
September 2012
Article Contents
CHEN Yan, LI Na-na and ZHANG Na. An improved dynamic frame slotted ALOHA algorithm[J]. Journal of Light Industry, 2012, 27(6): 41-43. doi: 10.3969/j.issn.2095-476X.2012.06.011
Citation: CHEN Yan, LI Na-na and ZHANG Na. An improved dynamic frame slotted ALOHA algorithm[J]. Journal of Light Industry, 2012, 27(6): 41-43. doi: 10.3969/j.issn.2095-476X.2012.06.011 shu

An improved dynamic frame slotted ALOHA algorithm

  • Received Date: 2012-11-01
    Available Online: 2012-09-16
  • Aiming at the problem that the dynamic frame slotted ALOHA algorithm required more timeslots,an improved dynamic frame slotted ALOHA algorithm was proposed through analyzing the relation between the number of electronic tag and probability of collision,which determine the length of frame don't need estimate the number of tags,only need a frame timeslot conflict probability.Simulation results showed that the improved algorithm has less timeslot and computation.
  • 加载中
    1. [1]

      单承赣,单玉峰,姚磊,等.射频识别(RFID)原理与应用[M].北京:电子工业出版社,2008.

    2. [2]

      Schoute F C.Dynamic frame length ALOHA[J].IEEE Transactions on Communieations,1983,31(4):565.

    3. [3]

      Vogt H.Efficient object identification with passive RFID tags[C]//International Conference on Pervasive Computing, Berlin:Springer-Verlag, 2002:98-113.

    4. [4]

      Cha Jae-Ryong,Kim Jae-Hyun.Novel anti-collision algorithms for fast object identification in RFID system[C]//Proceedings of 11th International Conference on Parallel and Distributed Systems,Washington:IEEE Computer Society,2005:63-67.

    5. [5]

      黄仁,张静,程平.一种ALOHA算法的帧长度调整方法[J].计算机工程与应用,2011,47(9):115.

    6. [6]

      尹君,何怡刚,李兵,等.基于分组动态帧时隙的RFID防碰撞算法[J].计算机工程,2009,35(20):267.

    7. [7]

      李飞高,张贵林.基于ALOHA的分组动态帧时隙RFID系统防碰撞算法[J].郑州轻工业学院学报:自然科学版,2012,27(3):80.

Article Metrics

Article views(1142) PDF downloads(15) Cited by()

Ralated
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return