Wireless visual sensor networks redeployment based on dependability optimization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Thiago C. Jesus (Autor) Outra; Daniel G. Costa (Autor) Outra; Paulo Portugal (Autor) FEUP

Ata de Conferência Internacional

Título: IEEE International Conference on Industrial Informatics (INDIN)

Páginas: 1111-1116

17th IEEE International Conference on Industrial Informatics, INDIN 2019

22 July 2019 through 25 July 2019

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00R-PY7

DOI: 10.1109/indin41052.2019.8972128

Abstract (EN): Wireless visual sensor networks (WVSN) bring a more comprehensive perception of monitored environments, leading to an increase adoption of such networks as a promising solution for a wide range of applications. Among many examples, highlight industrial applications related to the industry 4.0 paradigm, which increasingly require more data from manufacturing systems. Those sensor-based applications are in many cases safety-critical, requiring dependability guarantees mainly related with reliability and availability, that should be maintained during the whole network operation. Although several approaches have provided network deployment with dependability guarantees, sometimes the monitored environment or the application configurations can change during the network operation, which can violate the dependability requirements and demand network redeployment in order to keep those guarantees. In this paper we propose a novel algorithm to redeploy WVSN guided by the optimization of the application dependability, considering changes on cameras' orientations. A methodology is defined to support dependability analysis. We compare the results of the proposed algorithm with previous algorithms found in literature. The achieved results show that the proposed algorithm is useful and efficient to provide network redeployment, keeping or improving the application dependability.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6