Power Conservation in Cognitive Radio Networks using Hybrid Routing Algorithms

Authors(2) :-Rashmi Uppal, Kartik Sharma

Cognitive radios are used in number of networking areas such as spectrum sensing that is the most important application of networking. It is important to properly utilize spectrum so to stop the wastage of spectrum .in many applications cognitive radio networks co-exist with other cognitive radio networks, they use same spectrum without causing any interference. A number of methods are used for spectrum sensing which Non-cooperative spectrums are and sensing Cooperative spectrum sensing. In a single cognitive radio have a problem of interference; it’s of the issues of shading from the primary user, a secondary primary user act as receiver able to hear both primary users and signal from cognitive radio network. In the proposed system we developed a protocol which is cognitive leach protocol to find the route in the Cognitive radio network by considering the energy of each primary user. Minimum distance is found in the proposed system with the help of C-Leach to save the energy spectrum in cognitive radio networks for primary users.

Authors and Affiliations

Rashmi Uppal
Department of Computer Science and Engineering Baba Farid Group of Institutions (BFGI), Deon Village, Bathinda, Punjab, India
Kartik Sharma
Department of Computer Science and Engineering Baba Farid Group of Institutions (BFGI), Deon Village, Bathinda, Punjab, India

Cognitive Radio Networks, C-Leach, Power Consumption in Cognitive Radio Networks.

  1. M. T. Mushtaq, M. S. Khan, M. R. Naqvi, R. D. Khan3, M. A. Khan2, Prof. Dr. Otto F. Koudelka1, "Cognitive Radios and Cognitive Networks: A short Introduction", text road Publication, pp. 56 to 65, 2013.
  2. Mostofa Kamal Nasir, Mohammad TouhidurRahman, M KhaledSohel and A. K. M Kamrul Islam4, "Routing Strategies in Cognitive Radio Network: A Comprehensive Review", IEEE International Journal of Advanced Scientific and Technical Research Issue 3 volume 1, January-February 2013.
  3. Kevin Chang, "Spectrum sensing, optimisation and detection in cognitive radio", thesis- Phd, Queensland University, Feb 2012.
  4. Ahmed Khattab, Magdy A. Bayoumi, "The Challenges Towards Energy-Efficient Cognitive Radio Networking", Electronics and Electrical Communications Department  Cairo University Giza, Egypt akhattab@ieee.org and The Center for Advanced Computer Studies (CACS) University of Louisiana at Lafayette Lafayette, LA, USA mab@cacs.louisiana.edu.
  5. SinaMaleki,AshishPandharipande, and Geert Leus, "Energy- Efficient Distributed Spectrum Sensing for Cognitive Sensing Networks",IEEE Sensors Journal, vol. 11, no. 3, March 2011.
  6. Yiyang Pei, Ying-Chang Liang, Kah Chan Teh, and Kwok Hung Li, "Energy-Efficient Design of Sequential Channel Sensing in Cognitive Radio Networks: Optimal Sensing Strategy, Power Allocation, and Sensing Order", IEEE Journal on Selected Areas in Communications, vol. 29, no. 8, September 2011.
  7. Samuel Montejo Sánchez, Richard Demo Souza, Evelio M. G. Fernandez, and Vitalio Alfonso Reguera, "Rate and Energy Efficient Power Control in a Cognitive Radio Ad Hoc Network", IEEE Signal Processing Letters, vol. 20, no. 5, May 2013.
  8. Stefano Rini, Ernest Kurniawan, LevanGhaghanidze, and Andrea Goldsmith, "Energy Efficient Cooperative Strategies for Relay-Assisted Downlink Cellular Systems", IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, November 2014.

Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 112-116
Manuscript Number : IJSRSET1623254
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Rashmi Uppal, Kartik Sharma, " Power Conservation in Cognitive Radio Networks using Hybrid Routing Algorithms, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.112-116, July-August-2016.
Journal URL : http://ijsrset.com/IJSRSET1623254

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