Detalhes bibliográficos
| Ano de defesa: |
2018 |
| Autor(a) principal: |
Cerqueira, Marcos Vinicius Bião
 |
| Orientador(a): |
Costa, Daniel Gouveia
|
| Banca de defesa: |
Filho, José Valentim dos Santos
,
Duarte, Ângelo Amâncio
|
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Estadual de Feira de Santana
|
| Programa de Pós-Graduação: |
Mestrado em Computação Aplicada
|
| Departamento: |
DEPARTAMENTO DE TECNOLOGIA
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Palavras-chave em Inglês: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://tede2.uefs.br:8080/handle/tede/tede/632
|
Resumo: |
Wireless Sensor Networks (WSN) are composed of several devices, powered by bat- teries, distributed by the monitored area, where the use of internet networks is not applied. They have been gaining a lot of space because of the flexibility of appli- cations and their low implementation cost. With the improvement and cheapening of sensors equipped with cameras, and with their integration with the WSN, the Wireless Visual Sensors Networks (WVSN) have appeared, increasing, thus, the possibilities of possible applications. However, visual data demand greater proces- sing in their actions, potentially generating a greater energy consumption, making it necessary to better evaluate the useful life for the network. Therefore, this paper proposes to develop a mathematical model suitable for wireless visual sensor network that can estimate energy consumption. In addition, a tool was developed that im- plemented the proposed model, which in turn, was promising, obtaining satisfactory results, mainly in the area of image capture |
