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Previous issue date: 2015-12-18 / Funda??o de Amparo ? Pesquisa do Estado da Bahia - FAPEB / This work have proposed the adaptation and the development of algorithms for maximization
of the redundant coverage of targets in wireless visual sensor networks. The
most relevant concepts were described about the theory of visual sensors networks,
development techniques of coverage algorithms and the details of the performed implementations.
Besides, tests and comparisons were performed in simulation environments
to demonstrate the obtained results, as well as to evaluate the performance
of each developed algorithm of redundant coverage. / Esse trabalho prop?e a adapta ??o e o desenvolvimento de algoritmos para a maximiza
??o da cobertura visual redundante de alvos em redes de sensores visuais sem
o. Assim, ser?o apresentados os conceitos mais importantes relacionados a teoria
de redes de sensores visuais, as t ?cnicas de desenvolvimento de algoritmos de cobertura
e os detalhes das implementa ??es realizadas. Al?m disso, testes e compara ??es
foram realizados em ambiente de simula c?o para demonstrar os resultados obtidos,
bem como avaliar o desempenho de cada um dos algoritmos de cobertura redundante
desenvolvidos.
| Identifer | oai:union.ndltd.org:IBICT/oai:tede2.uefs.br:8080:tede/382 |
| Date | 18 December 2015 |
| Creators | Silva, Tassalon Ferreira da |
| Contributors | Costa, Daniel Gouveia |
| Publisher | Universidade Estadual de Feira de Santana, Mestrado em Computa??o Aplicada, UEFS, Brasil, DEPARTAMENTO DE TECNOLOGIA |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações da UEFS, instname:Universidade Estadual de Feira de Santana, instacron:UEFS |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 303317282311144204, 600, 600, 600, 600, 4335108523020347051, 8930092515683771531, -8233071094704392586 |
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