Integración e implementación de redes convergentes para el soporte de IoT en Smart Cities

Abstract

This article is the conceptual achievement in IoT, Machine learning and artificial intelligence, which bases the current integration and implementation of convergent networks for the support of current technologies, supported by hardware and software elements applied in Smart Cities models. These seek to determine sustainability margins through improvement processes related to infrastructure, innovation and technology, to reduce energy consumption and CO2 emissions. For this, it is intended to use the Digital Network Architecture® (DNA®) model of converged networks to support IoT references in Smart cities and, in turn, establish which network integration process is more efficient for use in some parameters of these. The arrival of new technologies such as 5G and the growth of the Internet of Things (IoT) have forced telecommunications operators to converge into a single network to maximize the use of their resources. Convergent networks are constantly developing, because there are increasing demands for connectivity and data transmission.