Skip to main content

A New Cooperative Spectrum Sensing Scheme for Cognitive Ad-Hoc Networks

  • Conference paper
Wireless Internet (WICON 2011)

Included in the following conference series:

  • 902 Accesses

Abstract

As the radio spectrum is becoming more and more crowded, the cognitive radio has recently become a hot research topic to improve the spectrum utilization efficiency. It is well known that the success of cognitive radio depends heavily on fast and efficient spectrum sensing that can be very difficult in practice. Toward this end, this paper introduces a new guard-resident collaborative spectrum sensing topology for a cognitive ad-hoc network. In particular, we classify cognitive nodes as either resident or guard based on the spectrum neighbor decision and distributed boundary search. The guard nodes sense the spectrum and then inform the resident nodes that are free from spectrum sensing about the environmental changes. The analysis and simulation results show that the proposed algorithm can significantly reduce the total spectrum sensing load and improve the sensing accuracy.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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.

References

  1. Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)

    Article  Google Scholar 

  2. Ghasemi, A., Sousa, E.S.: Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs. IEEE Commun. Mag. 46(4), 32–39 (2008)

    Article  Google Scholar 

  3. Cabric, D., Mishra, S.M., Brodersen, R.W.: Implementation issues in spectrum sensing for cognitive radios. In: IEEE 38th Asilomar Conf. Signals Systems, Computers, pp. 772–776 (November 2004)

    Google Scholar 

  4. Liang, Y.-C., Zeng, Y., Peh, E., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wireless Commun. 7(4), 1326–1337 (2008)

    Article  Google Scholar 

  5. Quan, Z., Cui, S., Sayed, A.H.: Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks. IEEE J. Sel. Topics Signal Process 2(1), 28–40 (2008)

    Article  Google Scholar 

  6. Saad, W., Han, Z., Basar, T., Debbah, M., Hjørungnes, A.: Coalition Formation Games for Collaborative Spectrum Sensing. IEEE Trans. Vehicular Technology 60(1), 276–297 (2011)

    Article  Google Scholar 

  7. Wang, B., Ray Liu, K.J., Charles Clancy, T.: Evolutionary Cooperative Spectrum Sensing Game: How to Collaborate? IEEE Trans. Commun. 58(3), 890–900 (2010)

    Article  Google Scholar 

  8. Zhang, W., Mallik, R.K., Letaief, K.B.: Optimization of Cooperative Spectrum Sensing with Energy Detection in Cognitive Radio Networks. IEEE Trans. Wireless Commun. 8(12), 5761–5766 (2009)

    Article  Google Scholar 

  9. Krenik, W., Batra, A.: Cognitive radio techniques for wide area networks. In: Proc. Conf. Design Automation, Anaheim, pp. 409–412 (June 2005)

    Google Scholar 

  10. Akyildiz, I.F., et al.: NeXt generation/dynamic spectrum access/ cognitive radio wireless networks: a survey. Computer Networks 50(13), 2127–2159 (2006)

    Article  MATH  Google Scholar 

  11. Krizman, K.J., Biedka, T.E., Rappaport, T.S.: Wireless Position Location: Fundamentals, implementation strategies and sources of error. In: IEEE 47th Vehicular Technology Conference, vol. 2, pp. 919–923 (May 1997)

    Google Scholar 

  12. Akyildiz, I.F., Lee, W.-Y., Chowdhury, K.R.: CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks 7(5), 810–835 (2009)

    Article  Google Scholar 

  13. Hastie, T., Tibshirani, R., Friedman, J.: Elements of Statistical Learning: Data Mining, Inference and Prediction, 14.3.12 Hierarchical clustering (February 2009)

    Google Scholar 

  14. McLurkin, J., Demaine, E.D.: A distributed boundary detection algorithm for Multi-Robot systems. In: IEEE Intelligent RObots and Systems (IROS) (October 2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Du, Y., Li, H., Wu, S., Lin, W., Wang, X. (2012). A New Cooperative Spectrum Sensing Scheme for Cognitive Ad-Hoc Networks. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30493-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30492-7

  • Online ISBN: 978-3-642-30493-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics