Cooperative Spectrum Sensing for Cognitive Radio Networks using Firefly Algorithm

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.6 · Issue 1

Published

August 2017

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Open Access

Licence

CC BY-NC-SA 4.0

Chunmun Singh Dharmendra Kumar Singh

The work presented in this paper is the Fusion technique for hybrid cooperative spectrum sensing using AND fusion of three secondary users for decision making. Energy detection based spectrum sensing method is the most common technique due to its simple operation and efficient detection rate for signals with higher SNR values. When the SNR level degrades, the performance of energy detector fails to give proper detection rate. This problem led towards development of an efficient spectrum sensing algorithm. In this regard, this research work includes the development of efficient and reliable spectrum sensing algorithm for cognitive radio network with the help of soft computing techniques in cooperative scenario. A Firefly Algorithm (FA) optimized model for conventional SVD based cooperative spectrum sensing has been presented.

Chunmun Singh, Dharmendra Kumar Singh (2017). Cooperative Spectrum Sensing for Cognitive Radio Networks using Firefly Algorithm. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.6, Issue 1. ISSN: 2319-4863.

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