Optimization of 50-node wireless sensor networks using centrality measures: A case study with the watts-strogatz model

This study provides a comprehensive understanding of optimizing a 50-node Wireless Sensor Network generated by the Watts-Strogatz model. The six-centrality metrics applied to node ranking and identification are Degree, Betweenness, Closeness, Eigenvector, Katz and Subgraph to determine which nodes can improve the efficacy of communication, pathways within the network, and survivability. Combining these centrality measures is another way to boost the performance of the WSN. From both industry and research perspectives, understanding the decreasing performance ratio during WSN optimization is crucial, as it provides valuable insights into the information-based optimization of key nodes that significantly influence traffic visibility and connection probabilities. The research demonstrates the benefits of a combined centrality approach in strengthening the architecture and functioning of wireless sensor networks.