Volume & Issue no: Volume 3, Issue 11, November 2014
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Title: |
Optimization of cooperative spectrum sensing using Fuzzy logic |
Author Name: |
Kuldeep Kaur, Inderdeep kaur Aulakh |
Abstract: |
ABSTRACT
One of the great challenges of implementing spectrum sensing is the hidden terminal problem, which occurs when the
cognitive radio is shadowed .In this paper, a optimal selection of the secondary nodes has been intimated using fuzzy logic
rule base. The selection of the secondary nodes plays a vital role in the enhancement of the throughput of the cognitive
sensing spectrum. If the secondary node is not optimal the total error rate may increase and packet transfer would lead to
some additional delay in the system which would further lead to damage in the data packet. In this work, Cognitive radios
(CRs) utilize an improved energy detector for taking a decision. Probability of missed alarm and probability of false
alarm In other recent works [10], [11], optimal sensing throughput tradeoff was studied. Using fuzzy logic total packet
loss will reduced in cooperative spectrum sensing.
Keywords:-Cognitive Radio, Fuzzy logic, Fuzzy Rules, SNR, Cooperative Spectrum Sensing, Optimization, error rate |
Cite this article: |
Kuldeep Kaur, Inderdeep kaur Aulakh , "
Optimization of cooperative spectrum sensing using Fuzzy logic" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 3, Issue 11, November 2014 , pp.
109-114 , ISSN 2319 - 4847.
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