Data Fusion and Analysis Techniques for Enhanced Decision-Making in IoT Environments

The proliferation of Internet of Things (IoT) devices has resulted in an inundation of diverse data sets that have the potential to considerably improve decision-making across many domains. This research work investigates the potential for modern data integration and analysis techniques to improve the decision-making abilities of IoT networks. Using regulated data acquisition, data integration, and cutting-edge analytic methods, the proposed work develops a solution to improve the accuracy of judgments. Using examples from smart manufacturing and healthcare monitoring, the proposed work demonstrates how the new methodology increases productivity and yields actionable data. Comparative analyses indicate that new methodologies markedly outperform those of the competition. This study identifies areas for future research on how integrating disparate IoT data with advanced analytics could lead to improved decision-making in a variety of contexts.