#6423. Comparative analysis of distributive linear and nonlinear optimized spectrum sensing clustering techniques in cognitive radio network systems

November 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript4010 $

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Journal’s subject area:
Control and Optimization;
Management Science and Operations Research;
Computer Networks and Communications;
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Abstract:
In this article, a study was conducted to compare the performance of various heuristic optimization algorithms such as swarm distributed optimized clustering, distributed firefly optimized clustering,. In the first case, all cognitive nodes move towards brighter light at a random speed to form an organized cluster with the shortest computation time. In the second, each group of clustering nodes moves to its best particle of the swarm, which has the best neighboring location, at a random speed to form an organized cluster. Based on the study of the comparative performance of the mentioned algorithms, the paper draws conclusions about the effectiveness of the first and second.
Keywords:
clustering, performance, nonlinear tools, node cardinality, heuristic optimization algorithms

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