Adaptive IoT Architectures for Dynamic Smart Home Environments
Abstract
The evolution of smart home environments necessitates adaptive IoT architectures that can respond to dynamic user needs and environmental conditions. This paper explores the development of adaptive IoT frameworks for smart homes, emphasizing modular and scalable design principles. We present a prototype system that integrates various IoT devices, sensors, and actuators, managed through a central hub with machine learning capabilities. The system's performance is evaluated in real-world scenarios, demonstrating its ability to optimize energy consumption, enhance user comfort, and improve security. The study highlights the potential of adaptive IoT architectures to create responsive and personalized smart home experiences.
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