Spectrum aware clustering in cognitive radio ad hoc networks

  • Authors

    • Aishwarya Sagar Anand Ukey
    • Meenu Chawla
    https://doi.org/10.14419/ijet.v7i2.30.13458

    Received date: May 29, 2018

    Accepted date: May 29, 2018

    Published date: May 29, 2018

  • Ad Hoc Networks, Cognitive Radio Network, Spectrum Aware Clustering, Survey.

  • Abstract

    Cognitive radio (CR) is an emerging technology developed for efficient utilization of the radio spectrum. CRN utilizes CR technology and enables the unlicensed users also referred as secondary users (SUs) to access free portions of the licensed spectrum in an opportunistic manner. To support scalability and stability in distributed CRNs also referred as cognitive radio ad hoc networks (CRAHNs), SUs are often organized into smaller groups known as clusters. Spectrum aware clustering is considered as the key technique to overcome numerous is-sues associated with the dynamic nature of CRAHNs. This article focuses on clustering in CRAHNs and presents a comprehensive review of various spectrum aware clustering algorithms presented in the literature. The article highlights notable clustering metrics and includes the description of cluster formation and maintenance process. The article also renders potential research gaps in existing research works and discusses open challenges and issues that need to be addressed for efficient clustering in CRAHNs.

  • References

    1. Federal Communications Commission (2002), Spectrum policy tasks force report. ET Docket No 02-135.
    2. Haykin S (2005), Cognitive radio: brain-empowered wireless com-munications. IEEE Journal on Selected Areas in Communications, 23, 201-220.
    3. Akyildiz I, Lee W, Vuran M & Mohanty S (2006), NeXt genera-tion/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50, 2127-2159.
    4. Akyildiz I, Lee W, Vuran M & Mohanty S (2008), a survey on spectrum management in cognitive radio networks. IEEE Commu-nications Magazine, 46, 40-48.
    5. Akyildiz I, Lee W & Chowdhury K (2009), CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks, 7, 810-836.
    6. Liang YC, Chen KC, Li G & Mahonen P (2011), Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60, 3386-3407.
    7. Yau K, Ramli N, Hashim W & Mohamad H (2014), Clustering al-gorithms for Cognitive Radio networks: A survey. Journal of Net-work and Computer Applications, 45, 79-95.
    8. Chen T, Zhang H, Maggio G & Chlamtac I (2007), CogMesh: A Cluster-Based Cognitive Radio Network. Proceedings of second IEEE International Symposium on New Frontiers in Dynamic Spec-trum Access Networks, Dublin, pp.168-178.
    9. Asterjadhi A, Baldo N & Zorzi M (2010), a cluster formation proto-col for cognitive radio ad hoc networks. Proceeding of European Wireless Conference (EW), Lucca, 2010, pp.955-961.
    10. Baddour K, Üreten O & Willink T (2010), A Distributed Message-passing Approach for Clustering Cognitive Radio Networks. Wire-less Personal Communications, 57, 119-133.
    11. Zhang H, Zhang Z, Dai H, Yin R, Chen X (2011), distributed spec-trum-aware clustering in cognitive radio sensor networks. Proceed-ings of the IEEE global telecommunications conference (GLOBECOM’11), Houston, Texas, pp.1–6.
    12. Huang X, Wang G, Hu F & Kumar S (2011), Stability-Capacity-Adaptive Routing for High-Mobility Multihop Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 60, 2714-2729.
    13. Li D & Gross J (2011), Robust Clustering of Ad-Hoc Cognitive Radio Networks under Opportunistic Spectrum Access. Proceed-ings of IEEE International Conference on Communications, Kyoto, pp.1-6.
    14. Bradonjić M & Lazos L (2012), Graph-based criteria for spectrum-aware clustering in cognitive radio networks. Ad Hoc Networks, 10, 75-94.
    15. Li X, Hu F, Zhang H & Zhang X (2013), a Cluster-Based MAC Protocol for Cognitive Radio Ad Hoc Networks. Wireless Personal Communications, 69, 937-955.
    16. Ozger M & Akan O (2013), Event-driven spectrum-aware clustering in cognitive radio sensor networks. Proceedings of IEEE INFO-COM’2013, Turin, pp.1483-1491.
    17. Shah GA, Alagoz F, Fadel EA & Akan OB (2014), A Spectrum-Aware Clustering for Efficient Multimedia Routing in Cognitive Radio Sensor Networks. IEEE Transactions on Vehicular Technol-ogy, 63, 3369-3380.
    18. Saleem Y, Yau KLA, Mohamad H, Ramli N & Rehmani MH (2015), SMART: A SpectruM-Aware ClusteR-based rouTing scheme for distributed cognitive radio networks. Computer Net-works, 91, 196–224.
    19. Zareei M, Islam AM & Mansoor N (2016), Cross-layer mobility-aware MAC protocol for cognitive radio sensor network. EURASIP Journal on Wireless Communications and Networking, 160, 1-15.
    20. Zhang H, Xu N, Xu F & Wang Z (2016), Graph cut based cluster-ing for cognitive radio ad hoc networks without common control channels. Wireless Networks, 24, 209-221.
    21. Ozger M, Fadel E & Akan OB (2016), Event-to-Sink Spectrum-Aware Clustering in Mobile Cognitive Radio Sensor Networks. IEEE Transactions on Mobile Computing, 15, 2221-2233.
    22. Xiaoyan L, Xiao Q, Zhang Y (2017), Clustering Algorithm for Cognitive Radio. Boletín Técnico, 55, 491-497.
    23. Dutta N, Sarma HKD & Polkowski Z (2018), Cluster-based routing in cognitive radio ad hoc networks: Reconnoitering SINR and ETT impact on clustering. Computer Communications, 115, 10-20.
    24. Li D, Fang E & Gross J (2018), Robust clustering for ad hoc cogni-tive radio network. Transactions on Emerging Telecommunications Technologies, 2018; e3285, https://doi.org/101002/ett3285.
    25. Kumar S & Singh AK (2018), a localized algorithm for clustering in cognitive radio networks, Journal of King Saud University - Com-puter and Information Sciences, 2018, https://doi.org/10.1016/j.jksuci.2018.04.004.

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  • How to Cite

    Sagar Anand Ukey, A., & Chawla, M. (2018). Spectrum aware clustering in cognitive radio ad hoc networks. International Journal of Engineering and Technology, 7(2.30), 27-32. https://doi.org/10.14419/ijet.v7i2.30.13458