This paper is published in Volume-3, Issue-3, 2017
Area
WSN
Author
Rahul Kumar, Kanchan Bala Jaswal
Org/Univ
L.R. Institute of Engineering & Technology, Himachal Pradesh, India
Pub. Date
14 June, 2017
Paper ID
V3I3-1519
Publisher
IJARIIT
Edition
Volume-3, Issue-3, 2017
Keywords
Cognitive Radio (CR), Primary User (PU), Secondary User (SU), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Probability of False alert (Pfalse), Probability of discovery (Pdet), throughput

Citationsacebook

IEEE
Rahul Kumar, Kanchan Bala Jaswal. Spectrum Senesing by Cognative Radio with Hybrid Metaheuristics, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rahul Kumar, Kanchan Bala Jaswal (2017). Spectrum Senesing by Cognative Radio with Hybrid Metaheuristics. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Rahul Kumar, Kanchan Bala Jaswal. "Spectrum Senesing by Cognative Radio with Hybrid Metaheuristics." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

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Abstract

Range detecting instruments empower Cognitive Radio systems to recognize Primary clients (PUs) and use range openings for Secondary client (SU) transmission. In this paper, exceptionally effective cost improvement of Particle Swarm Optimization is proposed i.e. PSO-ACO. Hybridization of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) essentially builds the location rate as Ant Colony Optimization (ACO) quickens from false minima which diminishes the false minima. With this, throughput increments upto 92% and mistake rate lessens upto 10-3. PSO-ACO hybridization altogether beats and fastly unite as a result of ACO advancement

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