Efficient Spectrum Sensing in Cognitive Radio Network Using Multi-Objective Improved Salp Swarm Algorithm-Reference-Cited by-同舟云学术

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Efficient Spectrum Sensing in Cognitive Radio Network Using Multi-Objective Improved Salp Swarm Algorithm

Published:2024-03-15 Issue: Volume:2 Page:1-4
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

N Sureka¹,G U Vasanthakumar²,Swathypriyadharsini P³,Alabdeli Haider⁴,Prashanthi Bhupathi⁵

Affiliation:

1. Agni college of Technology,Department of Biomedical Engineering,Chennai,India

2. Nitte Meenakshi Institute of Technology,Department of CSE,Bengaluru,India

3. Bannari Amman institute of technology,Department of Computer science and Engineering,Sathyamangalam,Tamilnadu,India

4. The Islamic university,Najaf,Iraq

5. GRIET,Department of Computer Science and Engineering,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516096.pdf?arnumber=10516096

Reference12 articles.

1. Hybrid optimization algorithm based optimal resource allocation for cooperative cognitive radio network

2. Optimization of Cognitive Radio System Using Self-Learning Salp Swarm Algorithm

3. Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm. InMetaheuristics and Optimization in Computer and Electrical Engineering;Jamshidpour,Oct 8

4. Modified spider monkey optimization—An enhanced optimization of spectrum sharing in cognitive radio networks

5. Application of a new machine learning model to improve earthquake ground motion predictions

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