81
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Distributed load-balancing algorithm for fast tag reading

, &
Pages 434-448 | Received 14 Mar 2012, Accepted 24 Aug 2012, Published online: 15 Oct 2012
 

Abstract

The radio frequency identification (RFID) technology has gained a lot of recent interests because it has been widely recognised as a foundation technology for the ‘Internet of things’. In current multi-reader RFID systems, readers work with fairly less cooperation and are responsible to retrieve data from different number of tags individually, which results in large reading time of obtaining all tag data. In this paper, a fast tag reading problem in multi-reader RFID systems with the goal of obtaining all tag data by using minimum reading time is studied. A distributed load-balancing algorithm based on diffusion method is proposed to solve the problem by migrating tags from highly loaded reader to lightly loaded reader. The simulation results demonstrate the effectiveness and efficiency of proposed algorithm.

Acknowledgements

We thank the constructive comments from the anonymous referees. This work is partially supported by the National Natural Science Foundation of China (Grant nos 61133015 and 61003305), the Ph.D. Programs Foundation of Ministry of Education of China (Grant no. 20100161120022) and Hunan Provincial Natural Science Foundation of China (Grant no. 11JJA003).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 763.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.