Design and Implementation of an Autonomous Wireless Sensor-Based Smart Home

The Smart home has gained widespread attention due to its flexible integration into everyday life. This next generation green home system, transparently unifies various home appliances, smart sensors and wireless communication technologies. It can integrate diversified physical sensed information and control various consumer home devices, with the support of active sensor networks having both sensor and actuator components. Although smart homes are gaining popularity due to their energy saving and better living benefits, there is no standardized design for smart homes. In this paper, we put forward a concept by designing and implementing a smart home system which can classify and predict the state of the home based on historical data. We set up a wireless sensor network and collected months of data. By employing supervised machine learning technique, we were able to establish patterns and use the acquired information as a vital cog in our control system algorithm, thereby improving the intelligence of the home. We created a system capable of running with minimal human supervision, an attribute which makes our system an asset for senior care scenarios. Our system also caters to the safety of the home owner.