Título: | AN APPROACH FOR MOVEMENT COORDINATION OF SWARMS OF UNMANNED AERIAL VEHICLES USING MOBILE NETWORKS | ||||||||||||
Autor: |
BRUNO JOSÉ OLIVIERI DE SOUZA |
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Colaborador(es): |
MARKUS ENDLER - Orientador |
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Catalogação: | 03/AGO/2016 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=27092&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=27092&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.27092 | ||||||||||||
Resumo: | |||||||||||||
This work presents an approach to coordinate swarms of Unmanned Aerial
Vehicles (UAV) based on Internet communication provided by mobile phone
networks. Several activities can be done by several UAVs flying in formation, such
as surveillance and monitoring of mass events, search and rescue tasks, control of
agricultural pests, monitoring and forest conservation, inspection of pipelines and
electricity distribution networks or even military attack and recognition missions.
Coordination of UAVs swarm can be branch in two sub-problems: communication
between members of the swarm and the algorithm that controls members
behaviors regarding their movements. The proposed solution assumes the use of a
smartphone coupled with each UAV of the swarm, in order to provide the required
level of reliable communication on the mobile Internet and run the proposed
algorithm for the coordination of swarms of UAVs. Experiments were performed
with emulated UAVs and WAN mobile networks. The results have demonstrated
the effectiveness of the proposed algorithm, and have shown the influence of the
network latency and the UAV speeds on the accuracy of the movement
coordination in the swarms.
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