ENERGY-EFFICIENT ROUTING AND CLUSTERING IN WSN AND IOT NETWORKS USING ARTIFICIAL INTELLIGENCE ALGORITHMS
Vol. 7 (2026), Articles
Vol. 7 (2026)

ENERGY-EFFICIENT ROUTING AND CLUSTERING IN WSN AND IOT NETWORKS USING ARTIFICIAL INTELLIGENCE ALGORITHMS

Articles
Published 02-10-2026
  • B.J.Normahmadov, Kh.E.Khujamatov, D.T.Khasanov, I.R.Turaev, R.M. Khidirov
B.J.Normahmadov, Kh.E.Khujamatov, D.T.Khasanov, I.R.Turaev, R.M. Khidirov
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R.M. Khidirov, B. K. D. I. . . (2026). ENERGY-EFFICIENT ROUTING AND CLUSTERING IN WSN AND IOT NETWORKS USING ARTIFICIAL INTELLIGENCE ALGORITHMS . Confrencea, 7, 196–202. Retrieved from https://confrencea.org/index.php/confrenceas/article/view/2064
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Abstract

This paper reviews AI-based approaches for energy-efficient
routing and clustering in WSN and IoT networks, including Particle Swarm
Optimization, Ant Colony Optimization, Genetic Algorithms, fuzzy logic, and
Artificial Neural Networks.

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Copyright (c) 2026 B.J.Normahmadov, Kh.E.Khujamatov, D.T.Khasanov, I.R.Turaev, R.M. Khidirov