Cognitive Radio Networks (CRN): Resource Allocation Techniques Based On DNA-inspired Computing
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Cognitive Radio Networks (CRN): Resource Allocation Techniques Based On DNA-inspired Computing

Authors: Santosh Kumar Singh, Krishna Chandra Roy, Vibhakar Pathak

Abstract:

Spectrum is a scarce commodity, and considering the spectrum scarcity faced by the wireless-based service providers led to high congestion levels. Technical inefficiencies from pooled, since all networks share a common pool of channels, exhausting the available channels will force networks to block the services. Researchers found that cognitive radio (CR) technology may resolve the spectrum scarcity. A CR is a self-configuring entity in a wireless networking that senses its environment, tracks changes, and frequently exchanges information with their networks. However, CRN facing challenges and condition become worst while tracks changes i.e. reallocation of another under-utilized channels while primary network user arrives. In this paper, channels or resource reallocation technique based on DNA-inspired computing algorithm for CRN has been proposed.

Keywords: Ad hoc networks, channels reallocation, cognitive radio, DNA local sequence alignment.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1332184

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References:


[1] Federal Communications Commission, "Spectrum Policy Task Force," Rep. ET Docket no. 02-135, Nov. 2002.
[2] P. Kolodzy et al., "Next generation communications: Kickoff meeting," in Proc. DARPA, Oct. 17, 2001.
[3] J. Mitola, "Cognitive radio: An integrated agent architecture for software defined radio," Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000.
[4] S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE JSAC, vol. 23, no. 2, Feb. 2005, pp. 201-20.
[5] Ian F. Akyildiz *, Won-Yeol Lee, Kaushik R. Chowdhury, I.F., CRAHNs: Cognitive radio ad hoc networks , Ad Hoc Networks 7 (2009) 810-836, 2009 Elsevier.
[6] T. Christian James Rieser, Dissertation "Biologically Inspired Cognitive Radio Engine Model Utilizing Distributed Genetic Algorithms for Secure and Robust Wireless Communications and Networking". August 2004 Blacksburg, Virginia.
[7] Jane Wei Huang and Vikram Krishnamurthy, "Game Theoretic Issues in Cognitive Radio Systems", Journal of communications, Vol. 4, No. 10, November, 2009 Academy publisher.
[8] I.F. Akyildiz, W.-Y. Lee, M.C. Vuran, M. Shantidev, NeXt generation/ dynamic spectrum access/cognitive radio wireless networks: a survey, Computer Networks Journal (Elsevier) 50 (2006) 2127-2159.
[9] http://download.intel.com/technology/itj/2005/volume09issue02/art04_d ata_workloads/vol09_art04.pdf
[10] http://wwwmgs.bionet.nsc.ru/mgs/info/chair/Bioinformatics/Doc/weizm an/alignment.pdf
[11] Cormen, T. H., C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms, second edition, MIT Press, 2001.
[12] Temple Smith and Michael Waterman. Identification of common molecular subsequences. Journal of Molecular Biology, 147:195-197, 1981.
[13] http://www.maths-in industry.org/miis/285/1/ 4_National_Institute_of_Genomic_Medicine.pdf
[14] http://www.cs.ucdavis.edu/~liu/paper/dyspan08_dan.pdf
[15] Santosh Kumar Singh, Krishna Chandra Roy & Vibhakar Pathak, "A Novel Approach of Spectrum Sensing Tradeoff for Cognitive Radio Networks based on Coherence Function", International Journal of Electronics Engineering, 2(1), 2010, pp. 169-171.
[16] Santosh Kumar Singh, Dr. Krishna Chandra Roy and Vibhakar Pathak, "Channels reallocation in Cognitive Radio Networks based on DNA sequence alignment", International Journal of Next-Generation Networks (IJNGN) Vol.2, No.2, June 2010.
[17] Volker Blaschke, Tobias Renk, Friedrich K. Jondral, "A Cognitive Radio Receiver Supporting Wide-Band Sensing", 978-1-4244-2052- 0/08, IEEE.
[18] Vibhakar Pathak, Dr. Krishna Chandra Roy and Santosh Kumar Singh, "Cross Layer Aware Adaptive Mac Based On Knowledge Based Reasoning for Cognitive Radio Computer Networks" International Journal of Next-Generation Networks (IJNGN) Vol.2, No.2, June 2010.