Local infrastructure for smart spaces: Using Docker and microservices to monitor older adults
DOI:
https://doi.org/10.26507/paper.4584Keywords:
IoT, docker, Infrastructure, Embedded Systems, ServersAbstract
The automation of smart environments improves safety and quality of life for vulnerable individuals, such as the elderly. However, many existing solutions rely heavily on cloud services, increasing costs and compromising privacy and latency. This work proposes a decentralized architecture based on microservices and Docker containers, designed to operate locally using low-cost hardware such as the Raspberry Pi. The implemented system allows the integration of ESP32 sensors for environmental monitoring and an emergency button to trigger real-time alerts through services like Telegram. Data is processed via FastAPI and stored in InfluxDB, ensuring autonomy and secure data management. Tests conducted in a simulated environment demonstrated fast response times, low resource consumption, and automatic recovery from failures. The proposed solution is scalable, flexible, and adaptable—ideal for applications in homes or care centers—with future expansion potential towards artificial intelligence and deployment in real-world scenarios.
References
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Fuentes electrónicas
Zeng, E., Mare, S. and Roesner, F. (2017). End user security and privacy concerns with smart homes. Proceedings of the Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), pp. 65–80. Consultado el 21 de abril de 2025 en https://www.usenix.org/conference/soups2017/technical-sessions/presentation/zeng
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Copyright (c) 2025 Asociación Colombiana de Facultades de Ingeniería - ACOFI
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