A Probabilistic Routing Protocol Based on Priori Information for Cognitive Radio Sensor Networks

Abstract:

The cognitive radio technology has been adopted as a promised solution to deal with overcrowded problem in ISM band. In wireless sensor networks, the cognitive radio technology enables sensor nodes to occupy licensed band in opportunistic manner and introduces advantages of improving spectrum utilization and increasing system throughput. By considering the opportunistic spectrum access nature, in this paper, we aim to provide a stable path selection scheme for cognitive radio sensor networks. The proposed routing protocol utilizes priori delivery information and derives a novel routing metric for the optimal path selection. The routing metric is derived from naïve Bayes inference and used to indicate the path stability by means of delivery probability. We show through extensive simulations that the proposed routing protocol is efficient to find the most probable delivery path and increase the system throughput.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 210-214
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.210
• Online since: February 2013
• Authors: Zi Long Jin, Beom Seok Kim, Dong Hai Guan, Jin Sung Cho
• Keywords: Cognitive Radio (CR), M-Estimation, Probabilistic Routing, Sensor Network

References

[1] M. Cesana, F. Cuomo and E. Ekici, Routing in cognitive radio network: Challenges and solutions, International Journal on Ad Hoc Networks, vol. 9, issue 3, (2011).

DOI: 10.1016/j.adhoc.2010.06.009

[2] O. B. Akan, O. B. Karli and O. Ergul, Cognitive radio sensor networks, IEEE Network Magazine, vol. 23, issue 4, (2009).

DOI: 10.1109/mnet.2009.5191144

[3] A. Ali, M. Iqbal, A. Baig and X. Wang, Routing techniques in cognitive radio networks: A survey, International Journal of Wireless & Mobile Networks, vol. 3, no. 3, (2011).

DOI: 10.5121/ijwmn.2011.3308

[4] A. Sampath, L. Yang, L. Cao and B. Y. Zhao, High throughput spectrum-aware routing for cognitive radio networks, Proc. of Cognitive Radio Oriented Wireless Networks and Communications, (2008).

DOI: 10.1109/crowncom.2008.4562509

[5] G. Cheng, W. Liu, Y. Li and W. Cheng, Spectrum aware on-demand routing in cognitive radio networks, Proc. of DySPAN, (2007).

[6] I. Pefkianakis, S. H. Y. Wong and S. Lu, SAMER: Spectrum aware mesh routing in cognitive radio networks, Proc. of DySPAN, (2008).

DOI: 10.1109/dyspan.2008.90

[7] X. Wang, T. Kwon and Choi, A multipath routing and spectrum access framework for cognitive radio systems in multi-radio networks, Proc. of ACM Workshop on Cognitive Radio Networks, (2009).

DOI: 10.1145/1614235.1614249

[8] T. Mitchell, Machine learning, McGraw-Hill Science/Engineering/Math, (1997).