Leveraging Lightweight Machine Learning for RF Jamming Detection in Mobile ad-hoc Networks: A Three-Tier Edge-Fog-Cloud Computing Approach
Authors
Hakim Bessouf
Research Unit LaMOS, Faculty of Exact Sciences, Department of Computer Science, University of Bejaia, Bejaia, Algeria
Abderrahmane Baadache
Research Unit LaMOS, University of Bejaia, 06000, Algeria, Department of Computer Science, University of Algiers, Algiers, Algeria
Fouzi Semchedine
fouzi.semcheddine@univ-setif.dz
Department of Computer Science, University of Setif, Algeria
Language: English
Page range: 72 - 92
Submitted on: Jan 7, 2026
Accepted on: Feb 22, 2026
Published on: Mar 21, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
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© 2026 Hakim Bessouf, Abderrahmane Baadache, Fouzi Semchedine, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.