Author
Listed:
- Zhan, Guoyao
- Zhang , Huie
Abstract
The rapid development of the Internet of Things (IoT) has revolutionized residential automation, offering more intelligent, efficient, and customizable living environments. This paper presents a comprehensive smart home system architecture based on the Raspberry Pi microcomputer, integrating various sensors, actuators, and cloud-based services. The system's design emphasizes flexibility, cost-effectiveness, and user-centered customization, making it suitable for a wide range of residential settings. We detail the system's hardware and software components, communication protocols, and data flow mechanisms, which work in tandem to enable seamless operation and real-time data processing. Experimental results from a prototype implementation demonstrate significant improvements, including a 30% reduction in energy consumption through automated lighting and HVAC control, and a 25% reduction in system response time via edge computing integration. The system also incorporates artificial intelligence (AI) for predictive automation and anomaly detection, achieving an impressive 94% accuracy in recognizing user patterns. Security concerns are addressed through a multi-layered encryption framework, ensuring the protection of user data from unauthorized access. Finally, the paper discusses future trends, including the potential integration of machine learning algorithms for more advanced automation, as well as sustainable energy solutions to reduce environmental impact. The proposed system, based on the Raspberry Pi platform, is positioned as a scalable and viable solution for the next generation of smart homes.
Suggested Citation
Zhan, Guoyao & Zhang , Huie, 2025.
"A Smart Home System Based on Raspberry Pi and Internet of Things Platform,"
GBP Proceedings Series, Scientific Open Access Publishing, vol. 17, pages 324-333.
Handle:
RePEc:axf:gbppsa:v:17:y:2025:i::p:324-333
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