Browse > Article

An contention-aware ordered sequential collaborative spectrum sensing scheme for CRAHN  

Nguyen-Thanh, Nhan (울산대학교 전기공학부)
Koo, In-Soo (울산대학교 전기공학부)
Publication Information
Journal of Internet Computing and Services / v.12, no.4, 2011 , pp. 35-43 More about this Journal
Abstract
Cognitive Radio (CR) ad hoc network is highly considered as one of promising future ad hoc networks, which enables opportunistic access to under-utilized licensed spectrum. Similarly to other CR networks, the spectrum sensing is a prerequisite in CR ad hoc network. Collaborative spectrum sensing can help increasing sensing performance. For such an infrastructureless network, however the coordination for the sensing collaboration is really complicated due to the lack of a central controller. In this paper, we propose a novel collaborative spectrum sensing scheme in which the final decision is made by the node with the highest data reliability based on a sequential Dempster Shafer theory. The collaboration of sensing data is also executed by the proposed contention-aware reporting mechanism which utilizes the sensing data reliability order for broadcasting spectrum sensing result. The proposed method reduces the collecting time and the overhead of the control channel due to the efficiency of the ordered sequential combination while keeping the same sensing performance in comparison with the conventional cooperative centralized spectrum sensing scheme.
Keywords
Cognitive radio; spectrum sensing; collaborative spectrum sensing; sequential fusion; Dempster Shafer theory of evidence;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Yeelin and Y. T. Su, "A sequential test based cooperative spectrum sensing scheme for cognitive radios," in IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008, pp. 1-5, 2008.
2 A. Ghasemi and E. S. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments," in First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005, pp. 131-136, 2005.
3 I. F. Akyildiz, W.-Y. Lee, and K. R. Chowdhury, "CRAHNs: Cognitive radio ad hoc networks," Ad Hoc Networks, vol. 7, pp. 810-836, 2009.   DOI   ScienceOn
4 H. Urkowitz, "Energy detection of unknown deterministic signals," Proceedings of the IEEE, vol.55, no.4, pp. 523-531, April 1967.   DOI
5 Q. Peng, K. Zeng, J. Wang, and S. Li, "A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context,", in IEEE 17th Int. Symposium on Personal, Indoor and Mobile Radio Communications, pp.1-5, Sept. 2006.
6 N.-T. Nhan and K. Insoo, "An enhanced cooperative spectrum sensing scheme based on evidence theory and reliability source evaluation in cognitive radio context," Communications Letters, IEEE, vol. 13, pp. 492-494, 2009.   DOI
7 F. F. Digham, M. S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," 2003 International Conference on Communications, vo.5, pp. 3575-3579, 2003.
8 A. Ghasemi and E. S. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments," 2005 International Symposium on Dynamic Spectrum Access Networks, pp. 131-136, 2005.
9 F. E. Visser, G. J. M. Janssen, and P. Pawelczak, "Multinode Spectrum Sensing Based on Energy Detection for Dynamic Spectrum Access," 2008 IEEE Vehicular Technology Conference Spring, pp. 1394-1398, 2008.
10 V. Erceg, L. J. Greenstein, S. Y. Tjandra, S. R. Parkoff, A. Gupta, B. Kulic, A. A. Julius, and R. Bianchi, "An empirically based path loss model for wireless channels in suburban environments," IEEE Journal on Selected Areas in Communications, vol. 17, pp. 1205-1211, 1999.   DOI   ScienceOn