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Author:

Zhang, Hang (Zhang, Hang.) | He, Jing Sha (He, Jing Sha.) (Scholars:何泾沙)

Indexed by:

EI Scopus

Abstract:

Anti-collision is a key technology in systems and applications in which Radio Frequency Identification (RFID) is used since it determines the efficiency of RFID tag identification. Although binary-tree search algorithms can effectively resolve collisions, they may not be very efficient in systems with a large number of RFID tags. In this paper, we propose a new flat-tree anti-collision algorithm and show that the proposed algorithm is more suitable for resolving collisions involving a massive number of RFID tags. Through analysis and experiment, we show that the flat-tree algorithm outperforms the binary-tree search algorithms when the number of RFID tags reaches a massive scale, i.e., exceeds a certain number. © (2013) Trans Tech Publications, Switzerland.

Keyword:

Binary trees Trees (mathematics) Radio frequency identification (RFID) Materials science Information technology Collision avoidance Learning algorithms

Author Community:

  • [ 1 ] [Zhang, Hang]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [He, Jing Sha]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

ISSN: 1022-6680

Year: 2013

Volume: 756-759

Page: 4011-4015

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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