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Optimal Cooperative Spectrum Aware Opportunistic Routing in Cognitive Radio Ad Hoc Networks

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Abstract

Opportunistic cognitive routing coupled with dual-stage collaborative spectrum sensing in multi-channel multi-hop cognitive radio ad hoc networks (CRAHNs) is investigated in this work. Due to the dynamics of available spectrum and complex radio environment in CRAHNs, an opportunistic cognitive routing protocol is proposed, that exploits a dual-stage collaborative spectrum sensing (DCSS) scheme to improve spectrum availability under the effects of Primary Users’ activities. Solutions to select the optimal routing path were provided by adopting the proposed two routing metrics with routing access opportunity and routing transmission delay. The expressions in terms of the proposed two routing metrics are analytically derived and validated. Performance evaluation is conducted through simulations, and simulation results reveal that routing access opportunity and expected transmission delay are improved by using the proposed DCSS scheme, compared with those using the single cooperative spectrum sensing scheme and non-cooperation sensing scheme. In addition, it is observed that the number of next hop neighboring nodes, the number of available channels, and hop counts also affect the routing establishment and expected transmission delay.

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References

  1. Akyildiz, I. F., Lee, W.-Y., & Chowdhury, K. R. (2009). CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks Journal, 7(5), 810–836.

    Article  Google Scholar 

  2. Abdelaziz, S., & ElNainay, M. (2014). Metric-based taxonomy of routing protocols for cognitive radio ad hoc networks. Journal of Network and Computer Applications, 40, 151–163.

    Article  Google Scholar 

  3. 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.

    Google Scholar 

  4. Liu, Y., Cai, L. X., Shen, X. (2011). Joint channel selection and opportunistic forwarding in multi-hop cognitive radio networks. In Global Telecommunications Conference (GLOBECOM 2011), Huston, Texas, USA.

  5. Liu, Y., Cai, L. X., & Shen, X. (2012). Spectrum-aware opportunistic routing in multi-hop cognitive radio networks. IEEE Journal on Selected Areas in Communications, 30(10), 1958–1968.

    Article  Google Scholar 

  6. Nejatian, S., Syed-Yusof, S. K., Latiff, N. M. A., Asadpur, V., & Hosseini, H. (2013). Proactive integrated handoff management in cognitive radio mobile ad hoc networks. EURASIP Journal on Wireless Communications and Networking, 224, 1–19.

    Google Scholar 

  7. Parvin, S., Fujii, T. (2012). Radio environment aware stable routing for multi-hop cognitive radio networks. In 2012 IEEE 23rd international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 944–949), Sydney, Australia.

  8. Huang, X., Lu, D., Li, P., Fang, Y. (2011). Coolest path: Spectrum mobility aware routing metrics in cognitive ad hoc networks. In 31st International conference on distributed computing systems (ICDCS) (pp. 182–191), Minnesota, USA.

  9. Youssef, M., Ibrahim, M., Abdelatif, M., Chen, L., & Vasilakos, A. V. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys & Tutorials, 16(1), 92–109.

    Article  Google Scholar 

  10. Moursi, S., ElNainay, M. (2013). A multi-metric routing protocol with service differentiation for cognitive radio ad-hoc networks. In Proceedings of ACM MSWim’13, Barcelona, Spain.

  11. Lin, S.-C., Chen, K. C. (2010). Spectrum aware opportunistic routing in cognitive radio networks. In IEEE 2010 global telecommunication conference (pp. 1–6), Florida, USA.

  12. Cuomo, F., Abbagnale, A. (2010). Gymkhana: A connectivity-based routing scheme for cognitive radio ad hoc networks. In INFOCOM IEEE conference on computer communications workshops (pp. 1–5), CA, USA.

  13. Le, T., Rabsatt, V., Gerla, M. (2014). Cognitive routing with the ETX metric. In 13th annual mediterranean ad hoc networking workshop (MED-HOC-NET) (pp. 188–194), Piran.

  14. Cui, C., & Wang, Y. (2013). Analysis and optimization of sensing reliability for relay-based dual-stage collaborative spectrum sensing in cognitive radio networks. Wireless Personal Communications, 72(4), 2321–2337.

    Article  Google Scholar 

  15. Cui, C., & Wang, Y. (2014). Time agility optimization for dual-stage collaborative spectrum. Chinese Journal of Electronics, 23(4), 399–402.

    Google Scholar 

  16. Ganesan, G., & Li, Y. (2007). Cooperative spectrum sensing in cognitive radio: Part I: Two user networks. IEEE Transactions on Wireless Communications, 6(6), 2204–2213.

    Article  Google Scholar 

  17. Kim, H., & Shin, K. G. (2008). Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Transactions Mobile Computing, 7(5), 533–545.

    Article  MathSciNet  Google Scholar 

  18. Cui, C., Man, H., Wang, Y., Liu, S. (2014). Cooperative spectrum-aware opportunistic routing in cognitive radio ad hoc network. In IEEE global conference on signal and information processing, GlobalSIP 2014, (pp. 1238–1241).

  19. Narvaez, P., Siu, K. Y., & Tzeng, H. Y. (2000). New dynamic algorithms for shortest path tree computation. IEEE/ACM Transactions on Networking, 8(6), 734–746.

    Article  Google Scholar 

  20. Stavroula, S., & Leonidas, G. (2005). Algorithms for precomputing constrained widest paths and multicast trees. IEEE/ACM Transactions on Networking, 13(5), 1174–1187.

    Article  Google Scholar 

  21. Cacciapuoti, A. S., Caleffi, M., Paura, L. (2009). A theoretical model for opportunistic routing in ad hoc networks. In Ultra modern telecommunications workshops in IEEE, ICUMT’09 (pp. 1–7).

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Acknowledgments

The work is supported by National Natural Science Foundation of China under Grants Nos. 61172056 and 61201215, The China Scholarship Council (fellowship to Cuimei Cui), the Project Funds of Changzhou Institute of Technology under Grants Nos. YN1504, and Culture Creative Collaborative Innovation Center of Jiangsu Universities under grants No. XYN1505.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Soochow University, Suzhou, China

    Cuimei Cui, Yiming Wang & Shuqi Liu

  2. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA

    Cuimei Cui & Hong Man

  3. School of Electrical and Photoelectronic Engineering, Institute of Technology, Changzhou, China

    Cuimei Cui

Authors
  1. Cuimei Cui
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  2. Hong Man
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  3. Yiming Wang
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  4. Shuqi Liu
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Correspondence to Yiming Wang.

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Cui, C., Man, H., Wang, Y. et al. Optimal Cooperative Spectrum Aware Opportunistic Routing in Cognitive Radio Ad Hoc Networks. Wireless Pers Commun 91, 101–118 (2016). https://doi.org/10.1007/s11277-016-3447-x

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  • DOI: https://doi.org/10.1007/s11277-016-3447-x

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