Research Article

Localization in Wireless Sensor Networks Using Metaheuristic Algorithms

Volume: 17 Number: 2 July 15, 2025
Buğra Hatipoğlu *, Tolga Eren , Murat Lüy
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International Journal of Engineering Research and Development Cover International Journal of Engineering Research and Development
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Localization in Wireless Sensor Networks Using Metaheuristic Algorithms

Abstract

Wireless sensor networks are utilized in a wide range of applications, where accurate determination of node positions is critical for network performance and energy efficiency. Metaheuristic algorithms, which have replaced traditional methods, offer significant advantages by providing more effective and faster solutions. In this study, Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Monarch Butterfly Optimization Algorithm (MBOA), and Coati Optimization Algorithm (COA) were used to determine the positions of nodes in wireless sensor networks. The parameters of the proposed algorithms were determined using grid-search hyperparameter optimization. With the obtained optimal parameter values, the average error values of the metaheuristic algorithms were compared, and the results were observed. The results allow for evaluating the performance of the used algorithms and selecting the most suitable method.

Keywords

Wireless Sensor Networks , Coati Optimization Algorithm , Localization , Hyperparameter Optimization”

References

  1. Arora, S., & Singh, S. (2017). Node Localization in Wireless Sensor Networks Using Butterfly Optimization Algorithm. Arabian Journal for Science and Engineering, 42(8), 3325–3335. https://doi.org/10.1007/s13369-017-2471-9
  2. Bergstra, J., & Bengio, Y. (2012). Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13(2), 281–305.
  3. Dehghani, M., Montazeri, Z., Trojovská, E., & Trojovský, P. (2023). Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems. Knowledge-Based Systems, 259, 110011. https://doi.org/10.1016/J.KNOSYS.2022.110011
  4. Gou, P., He, B., & Yu, Z. (2021). A Node Location Algorithm Based on Improved Whale Optimization in Wireless Sensor Networks. Wireless Communications and Mobile Computing, 2021, 1–17. https://doi.org/10.1155/2021/7523938
  5. Kanoosh, H. M., Houssein, E. H., & Selim, M. M. (2019). Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks. Journal of Computer Networks and Communications, 2019, 1–12. https://doi.org/10.1155/2019/1028723
  6. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of ICNN’95 - International Conference on Neural Networks, 4, 1942–1948. https://doi.org/10.1109/ICNN.1995.488968
  7. Mirjalili, S., & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008
  8. Mohar, S. S., Goyal, S., & Kaur, R. (2021). Optimized Sensor Nodes Deployment in Wireless Sensor Network Using Bat Algorithm.Wireless Personal Communications, 116(4), 2835–2853. https://doi.org/10.1007/s11277-020-07823-z
  9. Rajakumar, R., Amudhavel, J., Dhavachelvan, P., & Vengattaraman, T. (2017). GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks. Journal of Computer Networks and Communications, 2017. https://doi.org/10.1155/2017/7348141
  10. Sekhar, P., Lydia, E. L., Elhoseny, M., Al-Akaidi, M., Selim, M. M., & Shankar, K. (2021). An effective metaheuristic based node localization technique for wireless sensor networks enabled indoor communication. Physical Communication, 48, 101411. https://doi.org/10.1016/j.phycom.2021.101411

Details

Primary Language

English

Subjects

Electronics

Journal Section

Research Article

Authors

Early Pub Date

July 4, 2025

Publication Date

July 15, 2025

Submission Date

July 25, 2024

Acceptance Date

December 21, 2024

Published in Issue

Year 2025 Volume: 17 Number: 2

DOI

https://doi.org/10.29137/ijerad.1520344

IZ

https://izlik.org/JA68NR22GM

Cite

RIS / Bibtex
APA
Hatipoğlu, B., Eren, T., & Lüy, M. (2025). Localization in Wireless Sensor Networks Using Metaheuristic Algorithms. International Journal of Engineering Research and Development, 17(2), 299-308. https://doi.org/10.29137/ijerad.1520344

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr