Comparação entre métodos de integração de dados para sensores iot

Abstract

With expectations that the Internet of Things (IoT) area generates an economic impact between 3,9 to 11,1 trillion dollars annually from 2025 and beyond, reaching 22 billion connected devices during the same period, the significant potential of this segment to produce and benefit from the emerging of new technologies becomes apparent. In this context, this case study presents a comparative analysis between a recently created technology (Node IoT) and another that has been in the market for almost 20 years (Mongoose Web Server Library), using them in practice for integrating IoT sensor data. Two different approaches are developed for the same problem, exposing the challenges encountered in projects of this kind and the qualities that each tool possesses to mitigate these difficulties. In the end, through a qualitative evaluation of the practical aspects involved in the implementations, it is observed that the Node IoT platform is more suitable when agility in development and maintenance is the focus, while the Mongoose library is compatible with a wider range of hardware architectures and communication protocols, offering more flexibility in ways of utilization.