Skip to main content
SpringerLink
Log in

Path and Link Aware Routing Algorithm for Cognitive Radio Wireless Mesh Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Cognitive Radio Wireless Mesh Networks (CRWMNs) are reliable and promising technology to access opportunistically spectrum holes from the licensed bands with intelligible Software Defined Radio. Multi-radio and multichannel CRWMNs are dynamic networks, which creates routing protocol design as a complex. It has a capability of assessing the spectrum availability during routing, which enhance the efficiency of the network. The proposed algorithm is a novel multipath algorithm. The path selected in this algorithm based the minimal interference information, which is useful to make this routing approach as more reliable. Channel selection has the capability to identify more suitable links for data transmission in the network. The proposed algorithm has simulated in network simulator (ns2). The simulation results demonstrate the efficiency of proposed channel selection and path aware routing algorithm.

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

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

Similar content being viewed by others

References

  1. Akyildiz, I. F., Wang, X., & Wang, W. (2005). Wireless mesh networks: A survey. Computer Networks, 47(4), 445–487. doi:10.1016/j.comnet.2004.12.001. (ISSN: 1389-1286).

    Article  MATH  Google Scholar 

  2. Akyildiz, I. F., & Wang, X. (2005). A survey on wireless mesh networks. IEEE Communications Magazine, 43(9), S23–S30. doi:10.1109/MCOM.2005.1509968.

    Article  Google Scholar 

  3. Zhao, Y., Song, M., Xin, C., & Wadhwa, M. (2012). Spectrum sensing based on three-state model to accomplish all-level fairness for co-existing multiple cognitive radio networks. In Proceedings IEEE INFOCOM 2012 (pp. 1782–1790).

  4. Waharte, S., Ishibashi, B., Boutaba, R., & Meddour, D. (2008). Performance study of wireless mesh networks routing metrics. In Proceedings of the 6th IEEE/ACS International Conference on Computer System and Application, Qatar (pp. 1100–1106). Qatar. doi:10.1109/AICCSA.2008.4493685.

  5. Cesana, M., Cuomo, F., & Ekici, E. (2011). Routing in cognitive radio networks: Challenges and solutions. Ad Hoc Networks, 9(3), 228–248.

    Article  Google Scholar 

  6. Wang, B., & Liu, K. J. R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5(1), 5–23.

    Article  Google Scholar 

  7. Salim, S., & Moh, S. (2013). On-demand routing protocols for cognitive radio ad hoc networks. EURASIP Journal on Wireless Communications and Networking, 2013, 102. doi:10.1186/1687-1499-2013-102.

    Article  Google Scholar 

  8. Akyildiz, I. F, Lee, W. Y., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications magazine, 46(4), 40–48.

    Article  Google Scholar 

  9. Lu, L., Zhou, X., Onunkwo, U., & Li, G. Y. (2012). Ten years of research in spectrum sensing and sharing in cognitive radio. EURASIP Journal on Wireless Communications and Networking, 2012(1), 28. doi:10.1186/1687-1499-2012-28.

    Article  Google Scholar 

  10. Khalife, H., Ahuja, S., Malouch, N., & Krunz, M. (2008). Probabilistic path selection in opportunistic cognitive radio networks. In Global telecommunications conference, IEEE GLOBECOM 2008 (pp. 1–5). IEEE, November 30 2008–December 4 2008. doi:10.1109/GLOCOM.2008.ECP.931

  11. Chowdhury, K. R., & Felice, M. D. (2009). Search: A routing protocol for mobile cognitive radio ad-hoc networks. Computer Communications, 32(18), 1983–1997. doi:10.1016/j.comcom.2009.06.011. (ISSN: 0140-3664).

    Article  Google Scholar 

  12. Mumey, B., Tang, J., Judson, I. R., & Stevens, D. (2012). On routing and channel selection in cognitive radio mesh networks. IEEE Transactions on Vehicular Technology, 61(9), 4118–4128. doi:10.1109/TVT.2012.2213310.

    Article  Google Scholar 

  13. Talay, A. C., & Altilar, D. T. (2009). RACON: A routing protocol for mobile cognitive radio networks. In: Proceedings of the 2009 ACM workshop on cognitive radio networks (CoRoNet ’09) (pp. 73–78). ACM, New York, NY. doi:10.1145/1614235.1614252.

  14. Hincapie, R., Tang, J., Xue, G., & Bustamante, R. (2008). QoS Routing in wireless mesh networks with cognitive radios.In Global telecommunications conference, IEEE GLOBECOM 2008 (pp. 1–5). IEEE, November 30 2008–December 4 2008. doi:10.1109/GLOCOM.2008.ECP.933.

  15. Soltani, S., & Mutka, M. (2011). On transitional probabilistic routing in cognitive radio mesh networks. In 2011 IEEE international symposium on a world of wireless, mobile and multimedia networks (WoWMoM) (pp. 1–9). 20–24 June 2011. doi:10.1109/WoWMoM.2011.5986462.

  16. Bourdena, A., Mastorakis, G., Pallis, E., Arvanitis, A., & Kormentzas, G. (2012). A spectrum aware routing protocol for public safety applications over cognitive radio networks. In 2012 international conference on telecommunications and multimedia (TEMU) (pp. 7–12).

  17. Chowdhury, K. R., & Akyildiz, I. F. (2011). CRP: A routing protocol for cognitive radio ad hoc networks. IEEE Journal on Selected Areas in Communications, 29(4), 794–804. doi:10.1109/JSAC.2011.110411.

    Article  Google Scholar 

  18. Chowdhury, K. R., & Felice, M. D. (2009). SEARCH: A routing protocol for mobile cognitive radio ad-hoc networks. In Sarnoff symposium, SARNOFF ’09 (pp. 1–6). IEEE, March 30 2009–April 1 2009. doi:10.1109/SARNOF.2009.4850323.

  19. 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), 2884–2894. doi:10.1109/TWC.2012.061912.111479.

    Google Scholar 

  20. Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. RFC 3561.

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India

    Ramesh Babu Battula, Dinesh Gopalani & Manoj Singh Gaur

Authors
  1. Ramesh Babu Battula
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dinesh Gopalani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Manoj Singh Gaur
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ramesh Babu Battula.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Battula, R.B., Gopalani, D. & Gaur, M.S. Path and Link Aware Routing Algorithm for Cognitive Radio Wireless Mesh Network. Wireless Pers Commun 96, 3979–3993 (2017). https://doi.org/10.1007/s11277-017-4364-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4364-3

Keywords

Search

Navigation