inadequate resources, energy, and network scalability, this type of network relies heavily on data aggregation and clustering … analysis (PCA) and a reinforcement learning algorithm to achieve efficient clustering and data reduction. The primary … energy-aware clustering (REAC). Our study outperformed in terms of both network longevity and energy consumption and …

European countries by applying hierarchical and K-means clustering algorithms using Python's libraries. By examining clusters …