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.