Skip to main content

Advertisement

Performance-Effective and Low-Complexity Redundant Reader Detection in Wireless RFID Networks

Article metrics

  • 992 Accesses

  • 13 Citations

Abstract

The problems of redundant RFID reader detection and coverage have instigated researchers to propose different optimization heuristics due to the rapid advance of technologies in large-scale RFID systems. In this paper, we present a layered elimination optimization (LEO) which is an algorithm-independent technique aims to detect maximum amount of redundant readers that could be safely removed or turned off with preserving original RFID network coverage. A significant improvement of the LEO scheme is that amount of "write-to-tag" operations could be largely reduced during the redundant reader identification phase. Moreover, LEO is a distributed approach which does not need to collect global information for centralizing control, leading to no communications or synchronizations among RFID readers. To evaluate the performance of the proposed techniques, we have implemented the LEO technique along with other methods. Both theoretical analysis and experimental results show that the LEO is reliable, effective, and efficient. The proposed techniques can provide reliable performance with detecting higher redundancy and has lower algorithm overheads.

Publisher note

To access the full article, please see PDF

Author information

Correspondence to Ching-Hsien Hsu.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Hsu, C., Chen, Y. & Kang, H. Performance-Effective and Low-Complexity Redundant Reader Detection in Wireless RFID Networks. J Wireless Com Network 2008, 604747 (2008) doi:10.1155/2008/604747

Download citation

Keywords

  • Maximum Amount
  • Identification Phase
  • Full Article
  • Global Information
  • Reliable Performance