Nothing Special   »   [go: up one dir, main page]

Skip to main content

Effective Object Identification through RFID Reader Power Control

  • Conference paper
Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

  • 2693 Accesses

Abstract

In this paper, we present a RFID reader scheduling strategy for an effective identification by varying coverage through power control. A RFID reader is incorporated into a surveillance system which tracks objects with visual sensors. A required separation between objects is defined to avoid group identification with multiple objects. In order to reduce the power consumption of a RFID reader, the power cost is simply modeled with object positions to determine the activation time and the range of a RFID reader. The power cost model also considers the effect of added power consumption establishing group identification. A RFID reader is activated when the estimated power cost for the current sampling time is smaller than the estimated power cost for the next sampling time. The simulation results demonstrate that the proposed method reduces the power consumption with the effective object identification.

This research is supported by the International Collaborative R&D Program of the Ministry of Knowledge Economy (MKE), the Korean government, as a result of Development of Security Threat Control System with Multi-Sensor Integration and Image Analysis Project, 2010-TD-300802-002.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Schulz, D., Fox, D., Hightower, J.: People tracking with anonymous and ID-sensors using Rao-Blackwellised particle filters. In: Proc. of the Int’l Joint Conf. on Artificial Intelligence (August 2003)

    Google Scholar 

  2. Shin, J., Kumar, R., Mohapatra, D., Ramachandran, U., Ammar, M.H.: ASAP: A camera sensor network for situation awareness. In: Tovar, E., Tsigas, P., Fouchal, H. (eds.) OPODIS 2007. LNCS, vol. 4878, pp. 31–47. Springer, Heidelberg (2007)

    Google Scholar 

  3. Cho, S.H., Hong, S., Moon, N., Park, P., Oh, S.-J.: Object association and identification in heterogeneous sensors environment. EURASIP Journal on Advances in Signal Processing 2010, Article ID 591582 (November 2010)

    Google Scholar 

  4. Cho, S.H., Nam, Y., Hong, S.: Association and identification in heterogeneous sensors environment with coverage uncertainty. In: Proc. of IEEE Int’l Conf. on Advanced Video and Signal Based Surveillance (September 2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cho, S.H., Hong, S., Moon, N. (2014). Effective Object Identification through RFID Reader Power Control. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40675-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40674-4

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics