Wireless Sensor Networks in Chemistry: Innovations in Real-Time Monitoring for Enhanced Sustainability

Abstract

This study provides an in-depth analysis of critical nodes within Chemistry-Related Wireless Sensor Networks, comprising 20 nodes. The research employed a detailed evaluation using a range of centrality metrics, including local (degree centrality) and global (betweenness, closeness, and Eigenvector centrality) measures. Based on these metrics, nodes were ranked on a scale of 1 to 10, reflecting their relative importance within the network's hierarchy. This exhaustive examination enhances our comprehension of wireless sensor networks, offering crucial insights that aid in network optimization, designing effective strategies, and making well-informed decisions.