The paper discusses a model for managing data from wireless sensor networks (WSNs) using a data warehouse approach, addressing the challenges of data processing, particularly in energy-efficient mobile ad-hoc networks. It proposes a methodology for extracting, transforming, and normalizing data to enhance decision-making and compares the energy efficiency of routing protocols AODV and DSDV. The results indicate that employing a multidimensional data warehouse significantly aids specialists in analyzing WSN data and improving performance metrics.
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