IndoLoR -- Uma Plataforma Adaptável para Localização em Ambientes Internos

Authors

DOI:

https://doi.org/10.22456/2175-2745.78391

Keywords:

Indoor, Environment, Location, Adaptability, IndoLoR

Abstract

Os sistemas de localização têm se tornado cada vez mais parte integrante da vida das pessoas. Em ambientes externos, o GPS se apresenta como tecnologia padrão, largamente difundida e utilizada. No entanto, as pessoas
costumam passar a maior parte do seu tempo dentro de ambientes internos, como: hospitais, universidades, fábricas, edifícios, entre outros. Nesses ambientes, o GPS tem seu funcionamento comprometido não obtendo
um posicionamento preciso. Atualmente, para realizar a localização de pessoas ou objetos em ambientes internos não existe nenhuma tecnologia que consiga atingir
os mesmos resultados obtidos pelo GPS em ambientes externos. Devido a isso, é necessário considerar a utilização de informações provenientes de diversas fontes fazendo uso de diferentes tecnologias. Dessa forma, esse trabalho
tem como objetivo geral construir uma plataforma adaptável para localização em ambientes internos. Baseado nesse objetivo, é proposta a plataforma IndoLoR. Essa plataforma tem como objetivos permitir o recebimento de informações provenientes de diferentes fontes, além de realizar o processamento, fusão, armazenamento e disponibilização dessas informações parao contexto da localização em ambientes internos. A plataforma proposta é avaliada através de um estudo de caso verificando aspectos relativos a facilidade de adaptação e performance.

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Author Biography

Mário Andrade Vieira Melo Neto, Instituto Federal do Rio Grande do Norte (IFRN)

Atuo como professor de sistemas de informação do IFRN. Atuo nas áreas de desenvolvimento de sistemas, Internet das Coisas, Computação Móvel e Ubíqua.

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Published

2018-07-17

How to Cite

Melo Neto, M. A. V., & Aquino Junior, G. S. (2018). IndoLoR -- Uma Plataforma Adaptável para Localização em Ambientes Internos. Revista De Informática Teórica E Aplicada, 25(2), 19–37. https://doi.org/10.22456/2175-2745.78391

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Section

Regular Papers