Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Distributed Coordination Protocol for Ad Hoc Cognitive Radio Networks

  • Kim, Mi-Ryeong (Graduate School of Information Technology and Telecommunications, Inha University) ;
  • Yoo, Sang-Jo (Graduate School of Information Technology and Telecommunications, Inha University)
  • Received : 2010.04.27
  • Accepted : 2010.10.20
  • Published : 2012.02.28
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Abstract

The exponential growth in wireless services has resulted in an overly crowded spectrum. The current state of spectrum allocation indicates that most usable frequencies have already been occupied. This makes one pessimistic about the feasibility of integrating emerging wireless services such as large-scale sensor networks into the existing communication infrastructure. Cognitive radio is an emerging dynamic spectrum access technology that can be used for flexibly and efficiently achieving open spectrum sharing. Cognitive radio is an intelligent wireless communication system that is aware of its radio environment and that is capable of adapting its operation to statistical variations of the radio frequency. In ad hoc cognitive radio networks, a common control channel (CCC) is usually used for supporting transmission coordination and spectrum-related information exchange. Determining a CCC in distributed networks is a challenging research issue because the spectrum availability at each ad hoc node is quite different and dynamic due to the interference between and coexistence of primary users. In this paper, we propose a novel CCC selection protocol that is implemented in a distributed way according to the appearance patterns of primary systems and connectivity among nodes. The proposed protocol minimizes the possibility of CCC disruption by primary user activities and maximizes node connectivity when the control channel is set up. It also facilitates adaptive recovery of the control channel when the primary user is detected on that channel.

Keywords

Acknowledgement

Supported by : Inha University

References

  1. FCC, Notice of rule making and order, No. 03-322, Dec. 2003.
  2. FCC, Spectrum policy task force report, No. 02-155, Nov. 2002.
  3. J. Mitola III, "Cognitive radio: An integrated agent architecture for software defined radio," Ph.D. dissertation, Computer Communication System Laboratory, Department of Teleinformatics, Royal Institute of Technology (KTH), Stockholm, Sweden, May 2000.
  4. S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220. 2005. https://doi.org/10.1109/JSAC.2004.839380
  5. I. Akyildiz, W. Lee, M. Vuran, and S.Mohanty, "Next generation/dynamic spectrum access/cognitive radio wireless network: A survey," Computer Netw., vol. 50, no. 13, pp. 2127-2159, 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  6. C. Cordeiro, K. Challapali, and M. Ghosh, "Cognitive PHY and MAC layers for dynamic spectrum access and sharing of TV bands," in Proc. TAPAS, 2006.
  7. J. Sydor, "Messaging and spectrum sharing between ad-hoc cognitive radio networks," in Proc. IEEE ISCAS, 2006.
  8. T.Weiss and F. Jondral, "Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency," IEEE Commun. Mag., vol. 42, no. 3, pp. 8-14, 2004.
  9. R. Brodersen, A. Wolisz, D. Cabric, S. Mishra, and D. Willkomm. (2004). CORVUS: A cognitive radio approach for usage of virtual unlicensed spectrum. White paper. [Online]. Available: http://bwrc.eecs. berkeley.edu/Research/MCMA
  10. T. Chen, H. Zhang, G. M. Maggio, and I. Chlamtac, "CogMesh: A cluster-based cognitive radio network," in Proc. IEEE DySPAN, 2007, pp. 168-178.
  11. M.-R. Kim and S.-J. Yoo, "Distributed coordination protocol for common control channel selection in multichannel ad-hoc cognitive radio networks," in Proc. IEEE WiMob, 2009, pp. 227-232.
  12. L. Lazos, S. Liu, and M. Krunz, "Spectrum opportunity-based control channel assignment in cognitive radio networks," in Proc. SECON, 2009.
  13. I. F. Akyildiz, W.-Y. Lee, and K. R. Chowdhury, "CRAHNs: Cognitive radio ad hoc networks," Ad Hoc Netw., vol. 7, pp. 810-836, 2009. https://doi.org/10.1016/j.adhoc.2009.01.001
  14. Q. Zhao, L. Tong, A. Swami, and Y. Chen, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE J. Sel. Areas Commun., vol. 25, no. 3, pp. 589-600, 2006.
  15. P. Kyasanur and N. H. Vaidya, "Selfish MAC layer misbehavior in wireless networks," IEEE Trans. Mobile Comput., vol. 4, no. 5, pp. 502-516, 2005. https://doi.org/10.1109/TMC.2005.71
  16. J. Li, C. Blake, D. S. J. De Couto, H. I. Lee, and R. Morris, "Capacity of ad hoc wireless networks," in Proc. ACM Int. Conf. Mobile Comput. Netw., 2001, pp. 61-69.
  17. S. Krishnamurthy, M. Thoppian, S. Venkatesan, and R. Prakash, "Control channel based MAC-layer configuration, routing, and situation awareness for cognitive radio networks," in Proc. IEEE MILCOM, 2005, pp. 455-460.
  18. C. Cordeiro and K. Challapali, "C-MAC: A cognitive MAC protocol for multi-channel wireless networks," in Proc. IEEE DySPAN, 2007, pp. 147-157.
  19. L. Ma, X. Han, and C.-C. Shen, "Dynamic open spectrum sharing MAC protocol for wireless ad hoc networks," in Proc. IEEE DySPAN, 2005, pp. 203-213.
  20. J. Zhao, H. Zheng, and G. Yang, "Distributed coordination in dynamic spectrum allocation networks," in Proc. IEEE DySPAN, 2005, pp. 259-268.
  21. S.-L. Wu, C.-Y. Lin, Y.-C. Tseng, and J.-L. Sheu, "A new multi-channel MAC protocol with on-demand channel assignment for multi-hop mobile Ad hoc networks," in Proc. IEEE ISPAN, 2000, pp. 232-237.
  22. Y. R. Kondareddy and P. Agrawal, "Synchronized MAC protocol for multihop cognitive radio networks," in Proc. IEEE ICC, 2008, pp. 3198-3202.
  23. S.-Y. Ni, Y.-C. Tseng, Y.-S. Cheu, and J.-P. Sheu, "The broadcast storm problem in a mobile ad hoc network," in Proc. ACM/IEEE MobiCom, 1999, pp. 151-162.
  24. R. Gandhi, A. Mishra, and S. Parthasarathy, "Minimizing broadcast latency and redundancy in ad hoc networks," IEEE/ACM Trans. Netw., vol.16, no. 4, pp. 840-851, 2008. https://doi.org/10.1109/TNET.2007.905588
  25. T. Chen, H. Zhang, G. M. Maggio, and I. Chlamtac, "Topology management in CogMesh: A cluster-based cognitive radio mesh network," in Proc. IEEE ICC, 2007, pp. 6516-6521.