Cooperative Spectrum Sensing in Cognitive Radio using Flower Pollination Optimization Algorithm
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2016 by IJETT Journal | ||
| Volume-37 Number-3 |
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| Year of Publication : 2016 | ||
| Authors : Sudhir Shukla, Amandeep Singh Bhandari |
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| DOI : 10.14445/22315381/IJETT-V37P228 |
Citation
Sudhir Shukla, Amandeep Singh Bhandari"Cooperative Spectrum Sensing in Cognitive Radio using Flower Pollination Optimization Algorithm", International Journal of Engineering Trends and Technology (IJETT), V37(3),169-174 July 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Due to the rapid increased in the day by day users for spectrum cause scarcity of it. So due to its limitation and for the effective utilization of spectrum Cognitive Radio (CR) technology came into existence. This CR consists of its four main modules, which are: Spectrum sensing, mobility, sharing and management. Among which spectrum sensing is the keystone part, as due to the dependency of other parts on it. For this many evolutionary algorithms are applied, so may that an optimized result may be obtained. This paper focuses on the optimization problem of spectrum sensing in cognitive radios. The algorithms which are used as genetic, particle swarm, ant colony, simulated annealing, flower pollination, cuckoo search and so more, also they are directly related to the natures, among which FPA (Flower Pollination Algorithm) is one of these. This FPA has compelling qualities. This is somehow related to the pollination process of flowers. Due to its good convergence rate, is used for spectrum sensing.
References
[1] Ajay Sharma, Munish Katoch,”Analysis of Various Spectrum Sensing Techniques in Cognitive Radio”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 5, May 2015.
[2] Tareq M. Shami, et al,“On the detection Performance of Cooperative Spectrum Sensing Using Particle Swarm Optimization Algorithms 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), Langkawi, Malaysia (24-26 Nov 2014).
[3] Mohsen Akbari,et al,” Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance”, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume2016.
[4] Xin-She Yang, et al (2014) Flower pollination algorithm: A novel approach for multiobjective optimization, Engineering Optimization, 46:9, 1222-1237, DOI: 10.1080/0305215X.2013.832237, 04 Oct 2013.
[5] Zhi Quan,et al, Shuguang,” Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks”, IEEE journal of selected topics in signal processing, vol. 2, no. 1, February 2008.
[6] Jun Ma.et al,” Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks”, IEEE Transactions on Wireless Communication Vol.7.No.11 November 2008,1536-1276/08.
[7] Amandeep Singh Bhandari, et al,”Performance Analysis of Cyclostationary Spectrum Sensing Over Different Fading Channels. International Journal of Computer Applications (0975 – 8887) Volume 129 – No.1, November2015.
[8] Mandeep Singh, Amandeep Singh,”Practical Implementation of Cognitive Radio Using Energy Detection Technique”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-3, Issue-3, February 2014.
[9] D. J. Kadhim, S. Gong, W. Liu, and W. Cheng, “Optimization of Cooperation sensing spectrum performance,” in Proceedings of WRI International Conference on Communications and Mobile Computing (CMC `09), pp. 78–82, cn, February 2009. View at Publisher · View at Google Scholar · View at Scopus.
[10] Xin-She Yang,” Nature-Inspired Optimization Algorithms”, Elsevir, ISBN 978-0-12-416743-8,2014.
[11] Xin-She Yang, Flower pollination algorithm for global optimization, in: Unconventional Computation and Natural Computation 2012, Lecture Notes in Computer Science, Vol. 7445, pp. 240-249 (2012).
[12] Lars Chittka, et al,”Flower Constancy, Insect Psychology, and Plant Evolution”, Naturwissenschaften 86, 361–377 (1999) Q Springer-Verlag 1999.
Keywords
Cognitive radio, cooperative spectrum sensing, Flower pollination, evolutionary algorithms, Levy distribution.