2025-03-102025-03-102020MOTA, Renato José Lima. Uma plataforma auto adaptativa de internet das coisas voltada para ambientes heterogêneos. Orientador: Helder May Nunes da Silva Oliveira. 2020. 18 f. Trabalho de Conclusão de Curso (Bacharelado em Ciência da Computação) – Faculdade de Computação, Instituto de Ciências Exatas e Naturais, Universidade Federal do Pará, Belém, 2020. Disponível em:. Acesso em:.https://bdm.ufpa.br/jspui/handle/prefix/7812Due to the explosive growth in the Internet of Things(IoT) area over the last years, it is common to find problems in the literature envolving a big number of devices disposed in a small area, these are classified as Dense IoT (DIoT). Some of those invovle network congestion, high energy consumption and inefficient use of resources. Moreover, a new concern is emerging, information relevancy. The increasing data volume in DIoT traffic makes it is more important than ever to identify relevant data and prioritize it. Having this is mind, this paper proposes an adaptative IoT platform that makes use of intelligent mecanisms to observe some core indicators, such as traffic loss, harvested energy rate and number of nodes observing an event. Because of this, instructions are defined in order to adjust the network. These come as the following parameters: message confirmability, notification interval and even the elimination of a node from observation. In this sense, a much more reliable, dynamic and intelligent network is created.Acesso AbertoInternet densa das coisasDispositivos DIoTRede DIoTPlataforma auto adaptativaCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOTrabalho de Curso - Graduação - Monografia