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Reseach Article

Efficient Energy Detection Technique in Cognitive Radio Ad-hoc Network

by Shubhangi Mahamuni, Vivekanand Mishra, Vijay M.wadhai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 11
Year of Publication: 2012
Authors: Shubhangi Mahamuni, Vivekanand Mishra, Vijay M.wadhai
10.5120/6952-9443

Shubhangi Mahamuni, Vivekanand Mishra, Vijay M.wadhai . Efficient Energy Detection Technique in Cognitive Radio Ad-hoc Network. International Journal of Computer Applications. 46, 11 ( May 2012), 10-14. DOI=10.5120/6952-9443

@article{ 10.5120/6952-9443,
author = { Shubhangi Mahamuni, Vivekanand Mishra, Vijay M.wadhai },
title = { Efficient Energy Detection Technique in Cognitive Radio Ad-hoc Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 11 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number11/6952-9443/ },
doi = { 10.5120/6952-9443 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:27.847266+05:30
%A Shubhangi Mahamuni
%A Vivekanand Mishra
%A Vijay M.wadhai
%T Efficient Energy Detection Technique in Cognitive Radio Ad-hoc Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 11
%P 10-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio ad-hoc networks (CRAHNs) is used to solve the current problems of inefficiency in the spectrum allocation and used to deploy highly reconfigurable and self organizing wireless networks. Cognitive radio represents an efficient technology since it allows exploiting the unused radio resources. In this context, spectrum sensing plays very important role in cognitive radio communication technology. Here we considered simplified energy detection technique for spectrum sensing. Simulation results show the channel selection along with the signal to noise ratio utilized for message towards destination node by the efficient energy detection method.

References
  1. Koushik Roy Choudhary,Wooseong Kim,Andreas Kassler,Luciano Bonon,"End to End Protocol for Cognitive Radio Ad hoc Networks:An evaluation Study. "2010. 11. 00.
  2. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  3. Simon Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE Journal on Selected Areasin Communications, Vol. 23, Issue 2, pp. 201-220, Feb. 2005.
  4. Ian F. Akyildiz, Won-Yeol Lee, and Kaushik R. Chowdhury, Georgia Institute of Technology, "Spectrum Management in Cognitive Radio Ad Hoc Networks", IEEE Network July/August 2009.
  5. Q. T. Zhang, Fellow, IEEE, "Advanced Detection Techniques for Cognitive Radio", IEEE Communications Society subject matter experts for publication in the IEEE ICC 2009 proceedings.
  6. Hano Wang, Gosan Noh, Dongkyu Kim, Sungtae Kim,and Daesik Hong, "Advanced Sensing Techniques of Energy Detection in Cognitive Radios", journal of communications and networks, vol. 12, no. 1,February 2010.
  7. Won-Yeol et. al. , IEEE, and Ian. F. Akyildiz, Fellow,IEEE, "Optimal Spectrum Sensing Framework for Cognitive Radio ", IEEE Transactions On Wireless Communication, Vol. 7, No. 10, October 2008 3845.
  8. N. Jain, S. R. Das, A. Nasipuri, "A multi-channel CSMA MAC protocol with receiver-based channel selection for multi-hop wireless networks," Proc. Of International Conference on Computer Communications and Networks, pp. 432-439, Oct. 2001.
  9. Saman Atapattu, Chintha Tellambura, and Hai Jiang,"Spectrum Sensing via Energy Detector in Low SNR",IEEE Communications Society subject matter experts for publication in the IEEE ICC 2011.
  10. Xiaoyan Yang, Zhen Yang, Ding "Spectrum Selection for Cognitive Radio Networks", IEEE Communications Society subject matter experts for publication in the IEEE ICC 2011.
  11. Guang-Hua Yang, Haitao Zheng, Jun Zhao, Victor O. K. Li,"Adaptive channel selection through collaborative sensing,"Proceedings of IEEE ICC, Vol. 8, pp. 3753-3758,June 2006.
  12. Qingchun Ren and Qilian Liang, Performance Analysis of Energy Detection for Cognitive Radio Wireless Networks", International Conference on Wireless Algorithms, Systems and Applications,0-7695-2981-X/07 $25. 00 © 2007 IEEE.
  13. R. W. Brodersen, A. Wolisz, D. Cabric, S. Mishra, D. Willkomm,"Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum," UC Berkeley Whitepaper,July2004,http://bwrc. eecs. berkeley. edu/Research/MCMA/.
  14. Pingnan Lee, Gengyu Wei, "NS2 Model for Cognitive Radio Networks Routing", 978-1-4244-5273-6/09 IEEE. P. A. Kumar Acharya, S. Singh, H. Zheng, "Reliable open spectrum communications through proactive spectrum access," Proceedings of TAPAS, Aug. 2006.
  15. Xiaoyan Yang, Zhen Yang, Shanbin Liu, "A forecast based opportunistic spectrum access for cognitive radio networks," submitted to Journal of Chongqing University of Posts and Telecommunications, May 2008.
  16. Alice Crohas, "Practical Implementation of A Cognitive Radio System for Dynamic Spectrum Access",Graduate Program in Electrical Engineering Notre Dame,Indiana July 2008.
  17. Han Han, Qihui Wu, "Spectrum Sensing Via Energy Detector In Low SNR", 978-1-4244-6542-2/$26. 00 © 2010.
  18. Q. T. Zhang, Fellow, IEEE, "Advanced Detection Techniques for Cognitive Radio", IEEE Communications Society subject matter experts for publication in the IEEE ICC 2009 proceedings.
  19. Junwei Hao , Yunxiao Zu "An Enhanced Energy Detection Algorithm In Cognitive Radio", IEEE transactions on wireless communications, vol. 7, no. 10,october 2008 3845.
  20. Y. C. Tseng, S. L. Wu, C. Y. Lin, J. P. Sheu, "A multichannel MAC protocol with power control for multi-hop mobile Ad Hoc networks, "The Computer Journal, Vol. 45,Issue 1, pp. 101-110, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Spectrum Sensing Spectrum Handoff