The design of a smart home controller based on ADALINE

Received Aug 9, 2019 Revised Feb 24, 2020 Accepted Apr 13, 2020 Keywords: ADALINE Home automation IoT Neural network Smart home ABSTRACT This paper proposes a prototype of an improved smart home controller that implements a neural network-based algorithm for enabling the controller to make decisions and act based on the current condition. Unlike previous approaches, this design also utilizes the use of IoT (internet of thing) technology and neural network based-algorithm for developing the controller. Since a smart home is equipped with various sensors, actuators, smart appliances, and mobile terminals, all of these devices need to be connected to the Internet to be able to communicate and provide services for its occupants. In reference of several literatures, the more detailed objectives of smart home technology are as follows [4-7] : - Controlling home appliances via application using any device capable of wifi, - Securing connection channels between application and the embedded system, - Streaming real-time video from web camera, - Providing extensible platform for future enhancement, - Promototing energy efficiency, and - Providing home safety. Some of the research mentioned above have discussed the use of neural-based method in a smart home, however its implementation in hardware is not addressed. [...]the proposed prototype of smart home controller presented in this paper will be discussed based on its method and its implementation.