Utilização de computação em névoa aplicada em sistemas de automação residencial

Abstract

With the increasing number of Internet of Things (IoT) devices, there is a growing need to study the operation and improvements which can assist in the evolution of these technologies usage. To facilitate communication between the components of IoT, a fog computing architecture was created, bringing servers closer to the end devices. The primary purpose of this work was to develop both the software and hardware of LUNNO (Luminosity Innovation), a home automation system, with the aim of contributing to the well-being and cost savings that smart homes offer to their residents. The study leveraged the fog architecture and a publish/subscribe communication system. The application is only for Android operational system, operating the fog node on a Raspberry Pi, and building the end device using an ESP8266 module. The performance between the communication protocols STOMP (Simple (or Streaming) Text Orientated Messaging Protocol) and MQTT (Message Queuing Telemetry Transport), common in IoT environments, is evaluated considering metrics such as memory usage, processing consumption and communication latency, this way, it is possible to choose the protocol that provides the best performance for the proposed scenario. After conducting tests with end users, there were favorable responses regarding the operation of all components of the system, the good usability of the mobile application and the lighting control of the environment.