Comparative Analysis of Cooperative Routing Protocols in Cognitive Radio Networks

  • Pablo Palacios JátivaEmail author
  • Carlos Saavedra
  • José Julio Freire
  • Milton Román Cañizares
  • David Zabala-Blanco
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1195)


In this work, we investigate and compare cooperative routing protocols for channel selection purposes. In specific, the following efficient protocols: Channel Selection Scheme for Cooperative Routing Protocols (CSCR) and Cooperative Multi-channel MAC Protocol (MC-MAC) applied to Cognitive Radio Networks (CRNs). Cooperative protocol schemes allow Secondary Users (SUs) to detect the presence of Primary Users (PUs). SUs employ their spectrum sensing phase in a multi-channel architecture and, then, transmit this detection to the neighboring SUs cooperatively. The studied protocols are analyzed and evaluated through a CRN simulator, which consists of all stages of the cognitive cycle, namely spectrum sensing, decision, sharing, and mobility. The evaluation is carried out in terms of probability of detection of the PU, packet delivery ratio in terms of SUs, and end-to-end delay as a function of SUs.


Channel Selection Scheme for Cooperative Routing Protocols Cognitive Radio Network Cooperative routing protocols Multi-channel MAC protocol Multi-channel scheme 



This work was funded by CONICYT PFCHA/Beca de Doctorado Nacional/2019 21190489 and SENESCYT “Convocatoria abierta 2014-primera fase, Acta CIBAE-023-2014", and UDLA Telecommunications Engineering Degree.


  1. 1.
    Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  2. 2.
    Palacios, P., Saavedra, C.: Coalition game theory in cognitive mobile radio networks. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds.) CITT 2018. CCIS, vol. 895, pp. 3–15. Springer, Cham (2019). Scholar
  3. 3.
    Palacios, P., Castro, A., Azurdia-Meza, C., Estevez, C.: SVD detection analysis in cognitive mobile radio networks. In: 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 222–224, July 2017Google Scholar
  4. 4.
    Fihri, W.F., Salahdine, F., El Ghazi, H., Kaabouch, N.: A survey on decentralized random access MAC protocols for cognitive radio networks. In: 2016 International Conference on Advanced Communication Systems and Information Security (ACOSIS), pp. 1–7, October 2016Google Scholar
  5. 5.
    Sofwan, A., AlQahtani, S.A.: Cooperative multichannel MAC protocol for cognitive radio ad hoc. In: 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1–6, December 2015Google Scholar
  6. 6.
    Guirguis, A., ElNainay, M.: Channel selection scheme for cooperative routing protocols in cognitive radio networks. In: 2017 International Conference on Computing, Networking and Communications (ICNC), pp. 735–739, January 2017Google Scholar
  7. 7.
    Zeng, Y., Liang, Y.C.: Maximum-minimum eigenvalue detection for cognitive radio. In: 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5, September 2007Google Scholar
  8. 8.
  9. 9.
    Gerasimenko, M., Himayat, N., Yeh, S.P., Talwar, S., Andreev, S., Koucheryavy, Y.: Characterizing performance of load-aware network selection in multi-radio (WiFi/LTE) heterogeneous networks. In: 2013 IEEE Globecom Workshops (GC Wkshps), pp. 397–402, December 2013Google Scholar
  10. 10.
    Lv, L., Chen, J., Ni, Q., Ding, Z.: Design of cooperative non-orthogonal multicast cognitive multiple access for 5G systems: user scheduling and performance analysis. IEEE Trans. Commun. 65(6), 2641–2656 (2017) CrossRefGoogle Scholar
  11. 11.
    Kulkarni, S., Markande, S.: Comparative study of routing protocols in cognitive radio networks. In: 2015 International Conference on Pervasive Computing (ICPC), pp. 1–5, January 2015Google Scholar
  12. 12.
    Ping, S., Aijaz, A., Holland, O., Aghvami, A.H.: Energy and interference aware cooperative routing in cognitive radio ad-hoc networks. In: 2014 IEEE Wireless Communications and Networking Conference (WCNC), pp. 87–92, April 2014Google Scholar
  13. 13.
    Youssef, M., Ibrahim, M., Abdelatif, M., Chen, L., Vasilakos, A.V.: Routing metrics of cognitive radio networks: a survey. IEEE Commun. Surv. Tutor. 16(1), 92–109 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Pablo Palacios Játiva
    • 1
    Email author
  • Carlos Saavedra
    • 2
  • José Julio Freire
    • 3
  • Milton Román Cañizares
    • 3
  • David Zabala-Blanco
    • 4
  1. 1.Department of Electrical EngineeringUniversity of ChileSantiagoChile
  2. 2.Faculty of Electrical and Computation EngineeringESPOL Polytechnic UniversityGuayaquilEcuador
  3. 3.Departamento de Redes y TelecomunicacionesUniversidad De Las AméricasQuitoEcuador
  4. 4.Department of Computing and IndustriesUniversidad Católica del MauleTalcaChile

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