Browsing by Author "Zurita Villalba Francisco Javier"

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    Arquitectura de sensores IoT para la redistribución de la carga de procesamiento mediante inteligencia artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Zurita Villalba Francisco Javier; Pallo Noroña Juan Pablo
    This project aims to implement an IoT sensor architecture for the redistribution of processing load using Artificial Intelligence (AI). Specific objectives include the analysis of available IoT architectures, the evaluation of AI algorithms for process redistribution, and the design of an optimized architecture. The analysis of IoT architectures revealed that technologies such as ESP-32 and communication protocols such as Heartbeat are crucial for scalability, energy efficiency, and handling large volumes of data. The integration of machine learning models, such as neural networks, improves decision making and real-time resource management. The choice of architecture must be aligned with the specific requirements of the application to ensure optimal and sustainable performance. Regarding AI algorithms, efficient solutions for resource management were identified, highlighting neural networks for their ability to balance load, reduce latency and minimize energy consumption. These algorithms enable dynamic adaptation to changing network conditions, improving the scalability and sustainability of IoT networks. The IoT sensor architecture design proved to be effective, achieving a balanced workload distribution and improving scalability. The proposal includes automatic recovery mechanisms and extensive testing to measure efficiency and monitor performance. In conclusion, the integration of AI in IoT networks provides a robust foundation for applications that require high efficiency and adaptability in dynamic environments.