Skip to main content

Advertisement

Log in

Enhancing cooperative spectrum sensing in cognitive radio ad hoc networks using priority-based two-stage detection model

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Cooperation among unlicensed secondary users was more significant in cognitive radio ad hoc networks (CRAHNs). The main challenges of CRAHNs now a day address the main issues of spectrum scarcity and underutilization. Due to the lack of channel sensing, cooperative spectrum sensing (CSS) is the main challenge in CRAHNs. Efficient CSS is more essential to enhance the detection of performance by utilizing the theoretical studies of spatially distributed secondary users (SUs). This paper uses the priority-based two-stage detection model (PBTSDM) to analyze the cooperation strategy among secondary users (SUs) and primary users (PUs). SUs in distributed CSS sense continuously amongst themselves and take unified decision on the presence or absence of PUs by using entropy-based energy detection mechanism. The simulation results reveal that the sensing accuracy in terms of sensing time and energy efficiency (in terms of minimum energy consumption) increased significantly by using the proposed scheme.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Singh, J. S. P., Singh, J., & Kang, A. S. (2013). Cognitive radio: State of research domain in next generation wireless networks—a critical analysis. International Journal of Computer Applications, 74(10), 1–9.

    Article  Google Scholar 

  2. Zhao, N. (2013). A novel two-stage entropy-based robust cooperative spectrum sensing scheme with two-bit decision in cognitive radio. Wireless Personal Communications, 69(4), 1551–1565. doi:10.1007/s11277-012-0650-2.

    Article  Google Scholar 

  3. Zhao, N., Yu, F. R., Sun, H., & Nallanathan, A. (2013). Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks. EURASIP Journal on Wireless Communications and Networking. doi:10.1186/1687-1499-2013-120.

    Article  Google Scholar 

  4. Chen, X., & Nagaraj, S. (2008). Entropy based spectrum sensing in cognitive radio. In Wireless Telecommunications Symposium, WTS 2008, Pomona, CA (pp. 57–61). doi:10.1109/WTS.2008.4547544.

  5. Zhang, Y. L., Zhang, Q. Y., & Melodia, T. (2010). A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks. IEEE Communications Letters, 14(6), 533–535. doi:10.1109/LCOMM.2010.06.091954.

    Article  Google Scholar 

  6. Cacciapuoti, A. S., Akyildiz, I. F., & Paura, L. (2012). Correlation-aware user selection for cooperative spectrum sensing in cognitive radio ad hoc networks. IEEE Journal on Selected Areas in Communications, 30(2), 297–307. doi:10.1109/JSAC.2012.120208.

    Article  Google Scholar 

  7. Zhao, Y., Li, S., Zhao, N., & Wu, Z. (2010). A novel energy detection algorithm for spectrum sensing in cognitive radio. Information Technology Journal, 9(8), 1659–1664. doi:10.3923/itj.2010.1659.1664.

    Article  Google Scholar 

  8. Cacciapuoti, A. S., Caleffi, M., & Paura, L. (2012). Reactive routing for mobile cognitive radio ad hoc networks. Ad Hoc Networks, 10, 803–815. doi:10.1016/j.adhoc.2011.04.004.

    Article  Google Scholar 

  9. Ma, J., Zhao, G., & Li, Y. (2008). soft combination and detection for cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(11), 4502–4507. doi:10.1109/T-WC.2008.070941.

    Article  Google Scholar 

  10. Mustonen, M., Matinmikko, M., & Mammela, A. (2009). Cooperative spectrum sensing using quantized soft decision combining. In 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Hannover (pp. 1–5). doi:10.1109/CROWNCOM.2009.5188980.

  11. Xia, H., Zhang, G., & Xu, H. (2011). A flexible cooperative spectrum sensing scheme for cognitive radio networks. IEICE Electronics Express, 8(8), 542–548. doi:10.1587/elex.8.542.

    Article  Google Scholar 

  12. Fazeli-Dehkordy, S., Plataniotis, K. N., & Pasupathy, S. (2010). Two-stage spectrum detection in cognitive radio networks. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, TX (pp. 3118–3121). doi:10.1109/ICASSP.2010.5496090.

  13. Li, G. Y., et al. (2011). Energy-efficient wireless communications: tutorial, survey, and open issues. IEEE Wireless Communications, 18(6), 28–35. doi:10.1109/MWC.2011.6108331.

    Article  Google Scholar 

  14. Maleki, S., Pandharipande, A., & Leus, G. (2010). Two-stage spectrum sensing for cognitive radios. In IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, TX (pp. 2946–2949). doi:10.1109/ICASSP.2010.5496149.

  15. Nair, P. R., Vinod, A. P., & Krishna, A. K. (2011). A fast two stage detector for spectrum sensing in cognitive radios. In Vehicular Technology Conference (VTC Fall), 2011 IEEE, San Francisco, CA (pp. 1–5). doi:10.1109/VETECF.2011.6092897.

  16. Cacciapuoti, A. S., Caleffi, M., & Paura, L. (2011). Cooperative spectrum sensing techniques with temporal dispersive reporting channels. IEEE Transactions on Wireless Communications, 10(10), 3392–3402. doi:10.1109/TWC.2011.081011.102164.

    Article  Google Scholar 

  17. Akyildiz, I. F., Lee, W.-Y., & Chowdhury, K. R. (2009). CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks. doi:10.1016/j.adhoc.2009.01.001.

    Article  Google Scholar 

  18. Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks: A survey. Physical Communication, 4, 40–62. doi:10.1016/j.phycom.2010.12.003.

    Article  Google Scholar 

  19. Cacciapuoti, A. S., Akyildiz, I. F., Paura, L. (2011). Primary-user mobility impact on spectrum sensing in cognitive radio networks. In IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 451–456). doi:10.1109/PIMRC.2011.6140001.

  20. Cacciapuoti, A. S., Akyildiz, I. F., & Paura, L. (2013). Optimal primary-user mobility aware spectrum sensing design for cognitive radio networks. IEEE Journal on Selected Areas in Communications, 31(11), 2161–2172. doi:10.1109/JSAC.2013.131102.

    Article  Google Scholar 

  21. Cacciapuoti, A. S., Caleffi, M., Paura, L., & Savoia, R. (2013). Decision maker approaches for cooperative spectrum sensing: Participate or not participate in sensing? IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2013.031813.121112.

    Article  Google Scholar 

  22. Cacciapuoti, A. S., & Caleffi, M. (2015). Spectrum sensing in small-scale networks: Dealing with multiple mobile pus. Ad Hoc Networks. doi:10.1016/j.adhoc.2015.05.008.

    Article  Google Scholar 

  23. Caleffi, M., Akyildiz, I. F., & Paura, L. (2012). OPERA: Optimal routing metric for cognitive radio ad hoc networks. IEEE Transactions on Wireless Communications, 11(8). doi:10.1109/TWC.2012.061912.111479.

    Article  Google Scholar 

  24. Cacciapuoti, A. S., Caleffi, M., & Paura, L. (2010). Widely linear cooperative spectrum sensing for cognitive radio networks. In IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2010 proceedings. doi:10.1109/GLOCOM.2010.5683198.

  25. Renchao Xie, F., Yu, Richard, Ji, Hong, & Li, Yi. (2012). Energy-efficient resource allocation for heterogeneous cognitive radio networks with femtocells. IEEE Transactions on Wireless Communications, 11(11), 3910–3920. doi:10.1109/TWC.2012.092112.111510.

    Article  Google Scholar 

  26. Atapattu, S., Tellambura, C., & Jiang, H. (2011). Energy detection based cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 10(4), 1232–1241. doi:10.1109/TWC.2011.012411.100611.

    Article  Google Scholar 

  27. Ejaz, W., Shah, G. A., Hasan, N. U., & Kim, H. S. (2013). Optimal entropy-based cooperative spectrum sensing for maritime cognitive radio networks. Entropy, 15, 4993–5011. doi:10.3390/e15114993.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Muthukkumar.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Muthukkumar, R., Manimegalai, D. Enhancing cooperative spectrum sensing in cognitive radio ad hoc networks using priority-based two-stage detection model. Wireless Netw 24, 3295–3307 (2018). https://doi.org/10.1007/s11276-017-1536-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-017-1536-8

Keywords

Navigation