Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)

<Previous Article In Volume
Next Article In Volume>

A Study on Coverage Optimization in Wireless Sensor Networks Utilizing the Artificial Hummingbird Algorithm

Authors
Noureddine Boukhari1, *, Mohamed Amine Nemmich2, Asmaa Boudali3, Debbat Fatima4
1Department of Mathematics, Evolutionary Engeneering & Distributed Information Systems Laboratory (EEDIS), Djillali Liabes University of Sidi Bel-Abbes, Sidi Bel-Abbes, Algeria
2Department of Computer Science, Mathematics Laboratory, Djillali Liabes University of Sidi Bel-Abbes, Sidi Bel-Abbes, Algeria
3Department of Electronics, Laboratory of Coding and Security of Information, University of Sciences and Technology of Oran Mohamed Boudiaf, Bir El Djir, Algeria
4Department of Computer Science, Mascara University, Mascara, Algeria
*Corresponding author. Email: boukhari.noureddine@gmail.com
Corresponding Author
Noureddine Boukhari
Available Online 5 August 2025.
DOI
10.2991/978-94-6463-805-9_14How to use a DOI?
Keywords
Meta-heuristics representation; Optimization; Bio-inspired Algorithm; WSNs; Optimal Coverage; Artificial Hummingbird Algorithm
Abstract

Node coverage is a critical metric for wireless sensor networks, as it impacts the target area’s monitoring capabilities. However, achieving optimal coverage faces challenges due to limited node resources, large network scale, and complex operating conditions. This study proposes an artificial humming-bird algorithm-based solution to optimize node coverage in unbalanced, randomly deployed WSNs. Evaluation results show the AHA algorithm’s effectiveness, with enhanced feasibility and convergence speed compared to other reported algorithms.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
Series
Advances in Intelligent Systems Research
Publication Date
5 August 2025
ISBN
978-94-6463-805-9
ISSN
1951-6851
DOI
10.2991/978-94-6463-805-9_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Noureddine Boukhari
AU  - Mohamed Amine Nemmich
AU  - Asmaa Boudali
AU  - Debbat Fatima
PY  - 2025
DA  - 2025/08/05
TI  - A Study on Coverage Optimization in Wireless Sensor Networks Utilizing the Artificial Hummingbird Algorithm
BT  - Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
PB  - Atlantis Press
SP  - 118
EP  - 126
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-805-9_14
DO  - 10.2991/978-94-6463-805-9_14
ID  - Boukhari2025
ER  -