Spectrum Allocation in Cognitive Radio – Simplified Swarm Optimization Based Method
1Rajalakshmi*, Scholar, Department of Computer Science, Bharathidasan University, Trichy, Tamil Nadu, India.
2Dr.P.Sumathy, Assisatnt Professor, Department of Computer Science, Bharathidasan University, Trichy, Tamil Nadu, India.
Manuscript received on May 06, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 1636-1641 | Volume-9 Issue-5, June 2020. | Retrieval Number: : C5439029320/2020©BEIESP | DOI: 10.35940/ijeat.C5439.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Communication through wireless mode is accelerated its expansion in broad manner that make a way to communicate with different type of computing devices to interact each other. As the number of users continues to increase, there is a constant demand for the usability of radio spectrum, which is a limited resource.Therefore a maximum utilization of spectrum is necessary at any moment. Moreover it is desired to share the capacity of the bandwidth between the user’s application on the basis of different channel utilization without compromising efficiency and fairness. Because cognitive system accommodate a dynamic spectrum allocation environment and it becomes an essential to compare performance in terms of Throughput, Latency, End-To-End Delay, Average Power Consumption, Average Adaptation Time and Average Total Utility were provided to illustrate the improved behaviour of the proposed system. A quality conscious spectrum assessment work is proposed, where spectrum bands are examined based on the requirements of application as well as the complex existence of the spectrum bands. The author used Simplified Swam Optimization (SSO) in this paper to communicate spectrum allocation and the performance of the proposed method is compared with the existing methods; Genetic Algorithm (GA) and Particle Swam Optimization (PSO) . It has been found that SSO gives an optimal solution than GA and PSO.
Keywords: Cognitive Radio, Spectrum Sharing, Genetic Algorithm, Particle Swam Optimization and Simplified Swam Optimization.