Cognitive Radio Networks (CRN): Resource Allocation Techniques Based On DNA-inspired Computing
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.
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[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:53503", author = "Santosh Kumar Singh and Krishna Chandra Roy and Vibhakar Pathak", title = "Cognitive Radio Networks (CRN): Resource Allocation Techniques Based On DNA-inspired Computing", 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.", volume = "4", number = "1", pages = "92-7", }
