What question did this study set out to answer?

The study aims to evaluate and compare two machine learning algorithms for enhancing wireless sensor network protocols.

March 16, 2026Open Access

Analysis and Comparison of Two Selected Machine Learning Algorithms for Enhancing Wireless Sensor Network Protocols

Key Points

The study aims to evaluate and compare two machine learning algorithms for enhancing wireless sensor network protocols.
Implemented two clustering algorithms using MATLAB scripts.
Generated synthetic datasets for performance evaluation.
Ensured computational reproducibility with fixed random seeds.
Performance results from the algorithms indicate varying efficiency in sensor network applications.
Clustering algorithms are expected to improve communication protocol performance.

Abstract

The code and scripts implementing the clustering algorithms (Algorithm 1 and Algorithm 2) described in this study are publicly available and archived in the Zenodo repository. The synthetic sensor node datasets used for the performance evaluation are generated within the provided MATLAB scripts using fixed random seeds to ensure full computational reproducibility. No external datasets were used in this study.

Analysis and Comparison of Two Selected Machine Learning Algorithms for Enhancing Wireless Sensor Network Protocols

Key Points

Abstract

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