Hybrid of Ant Colony and Artificial Bee Colony Optimization for Resource Allocation in Cognitive Radio Networks-Reference-Cited by-同舟云学术

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Hybrid of Ant Colony and Artificial Bee Colony Optimization for Resource Allocation in Cognitive Radio Networks

Published:2024-03-15 Issue: Volume:11 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Lakshmiramana P¹,Al-Farouni Mohammed²,Senthil P³,K S Shashidhara⁴,Mutalik Pramod⁵

Affiliation:

1. Madanapalle Institute of Technology and Science,Computer Science and Technology,Angallu, Madanapalle,India

2. The Islamic university,Najaf,Iraq

3. S.A. Engineering College,Department of Information Technology,Chennai,India

4. Nitte Meenakshi Institute of Technology,Dept. of ECE,Bengaluru,India

5. Visvesvaraya Technological University,Software Engineer,Raichur,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516257.pdf?arnumber=10516257

Reference13 articles.

1. Efficient Resource Allocation Algorithm in Uplink OFDM-Based Cognitive Radio Networks

2. Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

3. Assessment of Dynamic Swarm Heterogeneous Clustering in Cognitive Radio Sensor Networks

4. Fast-BoW: Scaling Bag-of-Visual-Words Generation;Singh

5. A Fast Converging and Globally Optimized Approach for Load Balancing in Cloud Computing

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