Research Article
Smart Nursing Homes: Self-Management Architecture Based on IoT and Machine Learning for Rural Areas
Table 1
Selected controller, sensors, actuators, and smartphones for the use case.
| Device | Supported protocol(s) | Description |
| Controller | (i) Raspberry Pi 3 Model B+ | WiFi/Bluetooth/ZigBee | The controller to manage the environment | Sensors | (i) Motion sensor Xiaomi | ZigBee | To detect movement | (ii) Temperature/Humidity Xiaomi | Bluetooth | To control the temperature and humidity | (iii) Doors/Windows closed Xiaomi | ZigBee | To detect when a door or window is opened | (iv) CR Smart Home Smoke Xiaomi | ZigBee | To detect smoke/fire | Actuators | (i) Xiaomi Yeelight Color V2 | WiFi | Bulbs to illuminate rooms/corridors | (ii) Smart Plug Zoozee | WiFi | Plugs to control electrical devices | (iii) Google Nest | WiFi | Thermostat to control the temperature | (iv) Smart Switch Xiaomi | ZigBee | Button to trigger different actions | (v) Xiaomi Aqara Gateway | WiFi/Bluetooth | Alarm to trigger notify emergencies | Smartphones | (i) Xiaomi Mi 9 | WiFi/Bluetooth | Elder’s daily data | (ii) Huawei Mate 20 | WiFi/Bluetooth | Elder’s daily data | (iii) Moto Z | WiFi/Bluetooth | Elder’s daily data | (iv) Honor 9 | WiFi/Bluetooth | Elder’s daily data |
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