Survey and Analysis of Home Automation System Encompassing Embedded Systems, the Internet of Things (IoT) and AI Algorithms
Keywords:
Home automation, IoT, Artificial Intelligence, Smart home, Embedded systemsAbstract
Home Automation Systems (HAS) enable smarter, safer and more energy-efficient homes by automating various functions like lighting, temperature, security and appliances. These systems rely on communication technologies such as Bluetooth, GSM, ZigBee and IoT to connect and control devices seamlessly. The embedded devices serve as the backbone for seamless communication and integration among connected devices, creating a cohesive smart home ecosystem. By adding sophisticated features like predictive analytics, intelligent decision-making, and customized automation, the combination of Artificial Intelligence (AI) and the Internet of Things (IoT) elevates HAS to a new level. AI enhances system responsiveness, learning from user behavior to maximize the use of resources, energy and provide a more intuitive user experience. This survey delves into various methodologies and architectures employed in HAS, offering a detailed analysis of their features and performance across real-world applications. It critically evaluates key parameters such as scalability, cost-effectiveness and system robustness. The survey also highlights the challenges and limitations of current technologies. By exploring the synergies between embedded systems and AI, this review underscores the transformative potential of HAS to create secure, adaptive and efficient living spaces.
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