Optimizing Node Localization in Wireless Sensor Networks Using an Enhanced Cuckoo Search Algorithm

Gadagi Omkar, Nimmala Gangothri, Radharapu Vishal, Saroja Kumar Rout, Kottu Santosh Kumar, Bijaya Kumar Sethi

2025

Abstract

Node localization is a fundamental challenge in Wireless Sensor Networks (WSNs), crucial for efficient network operation and data accuracy. Traditional localization methods often struggle with balancing accuracy and computational efficiency, especially in large-scale deployments with limited resources. This project presents an enhanced Cuckoo Search Algorithm (CSA) tailored for optimizing node localization in WSNs. By incorporating modifications such as adaptive step-size control, hybridization with Particle Swarm Optimization (PSO), and refined Levy flight patterns, the enhanced CSA significantly improves both the accuracy and convergence speed of the localization process. The proposed method is evaluated through extensive simulations under various network scenarios, including different node densities, environmental conditions, and noise levels. Results demonstrate that the enhanced CSA outperforms conventional localization algorithms, reducing localization errors and computational overhead while maintaining robustness against environmental uncertainties. The results obtained show that all localizable nodes in the network with an ALE of 0.5-0.8m were successfully localized by the ECS method. Furthermore, when compared to the modified CS method, the ECS approach shows an 80% decrease in the average time required to localize all of the localizable nodes. This improvement paves the way for more reliable and energy-efficient WSN deployments, making it a valuable contribution to the field of sensor networks and related applications.

Paper Citation

in Harvard Style

Omkar G., Gangothri N., Vishal R., Rout S., Kumar K. and Sethi B. (2025). Optimizing Node Localization in Wireless Sensor Networks Using an Enhanced Cuckoo Search Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 722-729. DOI: 10.5220/0013600800004664

in Bibtex Style

@conference{incoft25,
author={Gadagi Omkar and Nimmala Gangothri and Radharapu Vishal and Saroja Kumar Rout and Kottu Santosh Kumar and Bijaya Kumar Sethi},
title={Optimizing Node Localization in Wireless Sensor Networks Using an Enhanced Cuckoo Search Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={722-729},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013600800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Optimizing Node Localization in Wireless Sensor Networks Using an Enhanced Cuckoo Search Algorithm
SN - 978-989-758-763-4
AU - Omkar G.
AU - Gangothri N.
AU - Vishal R.
AU - Rout S.
AU - Kumar K.
AU - Sethi B.
PY - 2025
SP - 722
EP - 729
DO - 10.5220/0013600800004664
PB - SciTePress