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Abstract: The need for an efficient and scalable system for real-time collection, processing, and management of data from various sensors using embedded systems. The proposed solution involves the design and implementation of clusters of microcontrollers, providing a distributed architecture capable of handling diverse sensor types in a seamless and energy-efficient manner. The Key parameters for development of embedded systems optimized for low power consumption, the establishment of real-time communication protocols for data exchange within clusters, and the integration of fault-tolerant mechanisms to ensure the robustness of the system. Clusters are dynamically formed, allowing for the addition of new sensors and microcontrollers to accommodate evolving requirements. The microcontrollers within the clusters are tasked with real-time processing of sensor data, including computations, filtering, and aggregation. Customizable sensor data fusion algorithms are implemented to enhance the accuracy and reliability of the collected data. Energy efficiency is a focal point, ensuring that the system is well-suited for deployment in resource- constrained environments, such as remote or inaccessible locations.