Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (s1): 72-76.doi: 10.13190/j.jbupt.2014.s1.014

• Papers • Previous Articles     Next Articles

A Hybrid Tag Number Estimation Scheme for Aloha Based Anti-Collision Algorithm in RFID Networks

YUAN Kai-guo1, HAO Yu-wen2, LI Zheng-ping3, ZHANG Di-di3   

  1. 1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. General Hospital of Chinese People's Armed Police Forces, Beijing 100039, China;
    3. College of Information Engineering, North China University of Technology, Beijing 100144, China
  • Received:2013-10-15 Online:2014-06-28 Published:2014-06-28
  • Supported by:
     

Abstract:

For the Aloha based anti-collision algorithm in radio frequency identification networks, tag collisions could greatly reduce the throughput of the system. If the number of tags was got, the throughput could be greatly improved. Based on maximum likelihood estimation, the proposed hybrid tag number estimation scheme combines the binary search based anti-collision algorithm and aloha based anti-collision algorithm to estimate the tag number. Simulation shows that the proposed scheme has higher estimation accuracy than the existing algorithm.

Key words: maximum likelihood estimation, radio frequency identification, anti-collision algorithm, Aloha

CLC Number: