Análise de otimização de roteamento Iot em redes LLN’s para cidades inteligentes : um estudo empírico sobre a utilização do método de enxame ACO em ambientes Iot para cidades inteligentes

Abstract

Internet of Things is a network of sensor-enabled devices that have processing power, storage, interconnectivity, and some intelligence. Numerous IoT technologies have made it possible to significantly reduce repetitive tasks, fast data traffic on a communication network, better storage and organization of information, effective monitoring of diverse environments, and other benefits to society. When applied to urban centers, IoT devices allow individual monitoring of indicators of health, air quality and humidity, ambient temperature, atmospheric pressure, land and air traffic, soil, agriculture and livestock monitoring, public infrastructure services, hazard alerts, among others. The application of IoT devices in these urban centers is essential to characterize Smart Cities, a modern concept that seeks to optimize the use of these technologies and the management of urban space. Typically, such devices have scarce power, processing, storage, and connectivity capabilities, and one of today's key scientific challenges is trying to intelligently optimize the use of these resources by applying techniques such as Ant Colony Optimization (ACO), based on ant microworlds. Therefore, the purpose of this work is to perform a detailed analysis of the energy use optimization of the nodes of an IoT network provided by the ACO swarm method, using simulations, data collection and respective analysis to understand if its application provides the investigated devices. an effective increase in the lifetime of these devices on an IoT network. The results obtained from this study will serve as a basis for improving the mechanisms employed in routing events present in IoT scenarios