Detalhes bibliográficos
| Ano de defesa: |
2020 |
| Autor(a) principal: |
Rodrigues, Lucas Soares
 |
| Orientador(a): |
Oliveira Júnior, Antonio Carlos de
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| Banca de defesa: |
Oliveira Júnior, Antonio Carlos de,
Cardoso, Kleber Vieira,
Moreira Junior, Waldir Aranha,
Both, Cristiano Bonato |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
|
| Programa de Pós-Graduação: |
Programa de Pós-graduação em Ciência da Computação (INF)
|
| Departamento: |
Instituto de Informática - INF (RG)
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/10659
|
Resumo: |
This work is an approach to the vehicle routing problem focusing on drones as data collectors in a network of IoT sensors that generate useful information for an intelligent environment system. The dissertation presents a model for one aircraft as well as for multiple ones. The flight plan generated from the model focuses on preventing breakdowns due to lack of battery charge. Thus, in order to maximize the number of nodes that will be visited, various restrictions differ in this model from conventional vehicle routing models. In addition to the drone's flight autonomy, another limiting aspect is considered: data storage. The work also proposes an architecture with the purpose of sharing this data collection function between various external applications, the architecture is based on services and components in the cloud and applies the concept of Drone-as-a-Service. A simulation environment is also presented to visualize the flights generated by routing algorithms with the conversion of the flight plan into MAVlink commands, and a tool is also defined for the generation of those flight plans and management of sensors in a given area. |
