Skip to main content
SpringerLink
Log in

Reputation-based collaborative spectrum sensing scheme in cognitive radio networks

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

Collaborative spectrum sensing is proposed to improve the detection performance in cognitive radio (CR) networks. However, most of the current collaborative sensing schemes are vulnerable to the interference of the malicious secondary users (SUs). In this paper we propose a reputation-based collaborative spectrum sensing scheme to improve the security of cooperative sensing by mitigating the impacts of misbehaviors. The fusion center calculates the reputation rating of each SU according to their history reports to weight their sensing results in the proposed scheme. We analyze and evaluate the performance of the proposed scheme and its advantages over previous schemes in expansibility and integrity. Simulation results show that the proposed scheme can minimize the harmful influence from malicious SUs.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. FCC Spectrum Efficiency Working Group. Report of the spectrum efficiency working group [EB/OL]. (2011-01-20) [2002-11-15]. http://www.fcc.gov/sptf/reports.html.

  2. Haykin S. Cognitive radio: Brain-empowered wireless communications [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201–220.

    Article  Google Scholar 

  3. Sahai A, Hoven N, Tandra R. Some fundamental limits on cognitive radio [C]//Proceedings of Allerton Conference on Communication, Control and Computing. Piscataway, NJ: IEEE, 2004: 131–136.

    Google Scholar 

  4. Ghasemi A, Sousa E S. Collaborative spectrum sensing for opportunistic access in fading environments [C]//First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Piscataway, NJ: IEEE, 2005: 131–136.

    Chapter  Google Scholar 

  5. Sun C, Zhang W, Letaief K B. Cluster-based cooperative spectrum sensing in cognitive radio systems [C]//IEEE International Conference on Communications. Piscataway, NJ: IEEE, 2007: 2511–2515.

    Chapter  Google Scholar 

  6. Chen R, Park J M, Bian R. Robust distributed spectrum sensing in cognitive radio networks [C]//INFOCOM, the 27th Conference on Computer Communications IEEE. Piscataway, NJ: IEEE, 2008: 1876–1884.

    Chapter  Google Scholar 

  7. Mishra S M, Sahai A, Brodersen R W. Cooperative sensing among cognitive radios [C]//ICC’06. IEEE International Conference. Piscataway, NJ: IEEE, 2006: 1658–1663.

    Google Scholar 

  8. Xu S, Shang Y, Wang H. Double thresholds based cooperative spectrum sensing against untrusted secondary users in cognitive radio networks [C]//Vehicular Technology Conference IEEE 69th. Piscataway, NJ: IEEE, 2009: 1–5.

    Chapter  Google Scholar 

  9. Kaligineedi P, Khabbazian M, Bhargava V K. Secure cooperative sensing techniques for cognitive radio systems [C]//ICC’08. IEEE International Conference. Piscataway, NJ: IEEE, 2008: 3406–3410.

    Google Scholar 

  10. Hu F, Wang S, Cheng Z. Secure cooperative spectrum sensing for cognitive radio networks [C]//Military Communications Conference MILCOM. Piscataway, NJ: IEEE, 2009: 1–7.

    Google Scholar 

  11. Gao F, Yuan W, Liu W, et al. A robust and efficient cooperative spectrum sensing scheme in cognitive radio networks [C]//Communications Workshops (ICC), 2010 IEEE International Conference. Piscataway, NJ: IEEE, 2010: 1–5.

    Chapter  Google Scholar 

  12. Chen H, Jin X, Xie L. Reputation-based collaborative spectrum sensing algorithm in cognitive radio networks [C]//Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium. Piscataway, NJ: IEEE, 2009: 582–587.

    Chapter  Google Scholar 

  13. Zhao T, Zhao Y. A new cooperative detection technique with malicious user suppression [C]//ICC’09. IEEE International Conference. Piscataway, NJ: IEEE, 2009: 1–5.

    Google Scholar 

  14. Ma J, Li Y. Soft combination and detection for cooperative spectrum sensing in cognitive radio networks [C]//Global Telecommunications Conference, GLOBECOM. Piscataway, NJ: IEEE, 2007: 3139–3143.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai, 200240, China

    Shi-kang Zhao  (赵士康) & Di He  (何 迪)

  2. ARCON Corporation, Waltham, MA, 02451, USA

    Wen-hua Li  (李文化)

  3. Zhongxing Telecommunication Equipment Corporation, Shanghai, 201203, China

    Fu-sheng Zhu  (朱伏生)

Authors
  1. Shi-kang Zhao  (赵士康)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Di He  (何 迪)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wen-hua Li  (李文化)
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fu-sheng Zhu  (朱伏生)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shi-kang Zhao  (赵士康).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 60802058) and the SMC-“Chen-Xing” Young Scholar Foundation of Shanghai Jiaotong University

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhao, Sk., He, D., Li, Wh. et al. Reputation-based collaborative spectrum sensing scheme in cognitive radio networks. J. Shanghai Jiaotong Univ. (Sci.) 16, 641–647 (2011). https://doi.org/10.1007/s12204-011-1204-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-011-1204-6

Key words

CLC number

Search

Navigation