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Mittal, M., de Prado, R.P., Kawai, Y., Nakajima, S. and Muñoz-Expósito, J.E. (2021) Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks. Energies, 14, Article 3125.
https://doi.org/10.3390/en14113125

has been cited by the following article:

• TITLE: Optimization of Leach Parameters to Improve Energy Efficiency of Wireless Sensor Networks

  AUTHORS: Sipepe Riopo Adela, Mei Wu

  KEYWORDS: Optimization, LEACH, Parameters, Energy Efficiency, Wireless Sensor Networks

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.4, April 30, 2025

  ABSTRACT: This article introduces a study on optimizing LEACH parameters to improve the efficiency of wireless sensor networks. The focus of the research is to find the optimal algorithm configuration parameter to maximize the performance and prolong the lifetime of wireless sensor batteries. This study aims to improve the overall energy efficiency of wireless sensor networks by adjusting the LEACH parameters. The results will contribute to the development of more sustainable and energy-efficient wireless sensor networks.