Skip to main content
Springer Nature Link
Log in

A Novel Spectrum Sensing Scheme Based on Wavelet Denoising with Fuzzy for Cognitive Radio Sensor Networks

  • Conference paper
  • First Online:
Frontier and Innovation in Future Computing and Communications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 301))

  • 2171 Accesses

Abstract

Ability of cognitive radio (CR) is the most promising solution to solve problems of a common wireless sensor network (WSN), which is assumed to assign a fixed frequency band. Cognitive radio sensor network (CRSN) is the combination of CR’s ability into WSN to improve spectrum utilization of each wireless sensor nodes. In order to avoid interference to other users in CRSN, reliable detection of the licensed user signal in the interested spectrum band is a pre-requirement. If we do not know any information about licensed user signal, energy detection will be optimal detection method. However, the energy detector is strongly affected by noise and shadowing of sensing environment. In this paper, we propose a novel spectrum sensing based on wavelet denoising with fuzzy to make cognitive radio users to be high reliable sensor in noisy sensing environment. The simulation results demonstrate the effectiveness of the proposed scheme.

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

Access this chapter

Log in via an institution

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Hur Y, Park J, Woo W, Lim K, Lee CH, Kim HS, Laskar J (2006) A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems. In: Proceedings of IEEE international symposium, circuit and system, Greece, pp 4090–4093

    Google Scholar 

  2. Sahai A, Hoven N, Tandra R (2004) Some fundamental limits on cognitive radio. In: Proceedings of allerton conference on communications, control and computing, Monticello

    Google Scholar 

  3. Rioul O, Vetterli M (1991) Wavelets and signal processing. IEEE Signal Process Mag 14–38

    Google Scholar 

  4. Smith CB, Agaian S, Akopian D (2008) A wavelet-denoising approach using polynomial threshold operators. Signal Process Lett IEEE 15:906–909

    Article  Google Scholar 

Download references

Acknowledgments

“This work was supported by the KRF funded by the MEST (NRF-2012R1A1A2038831 and NRF-2013R1A2A2A05004535)”.

Author information

Authors and Affiliations

  1. School of Electrical Engineering, University of Ulsan, San 29, Muger 2-dong, Ulsan, 680-749, Republic of Korea

    Hiep Vu-Van & Insoo Koo

Authors
  1. Hiep Vu-Van
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Insoo Koo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Insoo Koo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. Computer Science & Software Engineering, Monmouth University, W. Long Branch, New Jersey, USA

    Mohammad Obaidat

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Vu-Van, H., Koo, I. (2014). A Novel Spectrum Sensing Scheme Based on Wavelet Denoising with Fuzzy for Cognitive Radio Sensor Networks. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-8798-7_18

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8797-0

  • Online ISBN: 978-94-017-8798-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics