Skip to main content
SpringerLink
Log in
Book cover

International Conference on Cognitive Radio Oriented Wireless Networks

CrownCom 2020: Cognitive Radio-Oriented Wireless Networks pp 45–58Cite as

Efficient Clustering Schemes Towards Information Collection

  • Conference paper
  • First Online:

  • 285 Accesses

Abstract

One of the challenges in cooperative spectrum sensing is to optimize the energy consumption of the network. Delivery of all measurements from all the nodes to the fusion centre is not the best solution from the perspective of energy-efficiency. Clustering of nodes with similar channel conditions may reduce the amount of transmitted data, and in consequence reduce the amount of consumed energy. In this paper we investigate the performance of selected algorithms known in the domain of artificial intelligence, applied to perform reliable yet energy-aware spectrum sensing.

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

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 EPUB and 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

Learn about institutional subscriptions

References

  1. Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005). https://doi.org/10.1109/JSAC.2004.839380

    Article  Google Scholar 

  2. Haykin, S., Thomson, D.J., Reed, J.H.: Spectrum sensing for cognitive radio. Proc. IEEE 97(5), 849–877 (2009). https://doi.org/10.1109/JPROC.2009.2015711

    Article  Google Scholar 

  3. Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999). https://doi.org/10.1109/98.788210

    Article  Google Scholar 

  4. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutor. 11(1), 116–130 (2009). https://doi.org/10.1109/SURV.2009.090109

    Article  Google Scholar 

  5. Ali, A., Hamouda, W.: Advances on spectrum sensing for cognitive radio networks: theory and applications. IEEE Commun. Surv. Tutor. 19(2), 1277–1304 (2017). https://doi.org/10.1109/COMST.2016.2631080

    Article  Google Scholar 

  6. Nekovee, M.: A survey of cognitive radio access to TV white spaces. In: 2009 International Conference on Ultra Modern Telecommunications and Workshops, St. Petersburg, pp. 1–8 (2009). https://doi.org/10.1109/ICUMT.2009.5345318

  7. Cichoń, K., Kliks, A., Bogucka, H.: Energy-efficient cooperative spectrum sensing: a survey. IEEE Commun. Surv. Tutor. 18(3), 1861–1886 (2016). https://doi.org/10.1109/COMST.2016.2553178

    Article  Google Scholar 

  8. Din, S., Ahmad, A., Paul, A., Ullah Rathore, M.M., Jeon, G.: A cluster-based data fusion technique to analyze big data in wireless multi-sensor system. IEEE Access 5, 5069–5083 (2017). https://doi.org/10.1109/ACCESS.2017.2679207

    Article  Google Scholar 

  9. Zhang, D., Ge, H., Zhang, T., Cui, Y., Liu, X., Mao, G.: New multi-hop clustering algorithm for vehicular ad hoc networks. IEEE Trans. Intell. Transp. Syst. 20(4), 1517–1530 (2019). https://doi.org/10.1109/TITS.2018.2853165

    Article  Google Scholar 

  10. Cichoń, K.: Soft network organisation towards future distributed ML-Based sensing systems. In: 28th International Conference on Software, Telecommunications and Computer Networks, Hvar (2020). https://doi.org/10.23919/SoftCOM50211.2020.9238189

  11. Jayaweera, S.K.: Introduction to detection theory. In: Signal Processing for Cognitive Radios, pp. 65–131. Wiley (2015). https://doi.org/10.1002/9781118824818.ch4

  12. Hippenstiel, R.D.: Detection Theory: Applications and Digital Signal Processing, 1st edn. CRC Press, Boca Raton (2001). SBN-10 0849304342. ISBN-13 978-0849304347

    Google Scholar 

  13. Cichoń, K., Bogucka, H.: An energy-efficient cooperative spectrum sensing. In: IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 24–28 (2015). https://doi.org/10.1109/BlackSeaCom.2015.7185079

  14. Xu, R., Wunsch, D.: Clustering. Wiley-IEEE Press, Hoboken (2008). ISBN-10 0470276800. ISBN-13 978-0470276808

    Book  Google Scholar 

  15. MacKay, D.J.C.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge (2002)

    Google Scholar 

Download references

Acknowledgement

The presented work has been funded by the National Science Centre in Poland within the CERTAIN project (no. 2017/27/L/ST7/03166) of the DAINA programme.

Author information

Authors and Affiliations

  1. Institute of Radiocommunications, Poznan University of Technology, Poznan, Poland

    Krzysztof Cichoń & Adrian Kliks

Authors
  1. Krzysztof Cichoń
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adrian Kliks
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Krzysztof Cichoń .

Editor information

Editors and Affiliations

  1. Department of Mobile Systems and Analytics (MOSAIC), Simula Metropolitan Center for Digital Engineering (SimulaMet), Oslo, Norway

    Giuseppe Caso

  2. DIET Department, Sapienza University of Rome, Rome, Italy

    Luca De Nardis

  3. Faculty of Electrical Engineering and Information Technology, Ss. Cyril and Methodius University, Skopje, North Macedonia

    Liljana Gavrilovska

Rights and permissions

Reprints and permissions

Copyright information

© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cichoń, K., Kliks, A. (2021). Efficient Clustering Schemes Towards Information Collection. In: Caso, G., De Nardis, L., Gavrilovska, L. (eds) Cognitive Radio-Oriented Wireless Networks. CrownCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-73423-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-73423-7_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73422-0

  • Online ISBN: 978-3-030-73423-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation