Fuzzy Logic for an Implementation Environment Health Monitoring System Based on Wireless Sensor Network

Abstract

Internet of Things (IoT) has become popular with the development of technology, which allows each physical device identified, managed and recorded by computer. In the context of Wireless Sensor Networks (WSNs), it is important for everyone to know the latest information of the status of human health, for example the condition of the surrounding environment. In the paper, we proposed an implementation of environmental health conditions monitoring through WSN with fuzzy logic that could be monitored in real time anywhere and anytime. In our proposed system, we used a sensor temperature, humidity, Carbon Monoxide (CO) and Carbon Dioxide (CO2), luminosity, noise for node sensors. For decision-making environmental health conditions with fuzzy logic, we have 5 categories, such as Very Good (VG), Good (G), Medium (M), Bad (B) and the last is Dangerous (D). The data were sent from the sensor node to the gateway using ZigBee IEEE 802.15.4 standard. The data received from the sensor node were stored into the database provided by the gateway and to be synchronized with external databases (database server) using TCP/IP. Users can access the data sensor via the website or mobile application such as Desktop, PCs, Laptop, and Smartphones.