Modelagem de tráfego em ambientes hospitalares inteligentes utilizando uma abordagem SDN

• Ano de defesa: 2019
• Autor(a) principal: Oliveira, Lucas Barbosa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Informática; Programa de Pós-Graduação em Informática; UFPB
• Palavras-chave em Português: Hospitais inteligentes; Internet of medical things; IoMT; Ambientes clínicos integrados; Modelagem de tráfego; Software defined networking; Integrated clinical environments; Medical devices; Central monitoring; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/123456789/19518

Nowadays, there has been a major evolution of systems for connected health. Given this, several challenges are emerging such as information synchronization and security, establishing interoperability between hospital medical devices, the use of media to transmit information from medical devices, among others. Looking at this scenario, it is observed that a large number of connected medical devices and healthcare IT systems are being developed and integrated for data sharing. Such devices and systems share the same network and can be coupled with clinical data monitoring and analysis systems. As a result of this sharing, priority device traffic can be hampered by network congestion. Therefore, the TRANSMIT system (TRaffic shApiNg in SMart hospITals) proposes a solution that helps improve patient care in smart hospitals, based on the adoption of the Software Defined Networking (SDN) paradigm and aiming at managing a hospital network through the prioritization of traffic of priority devices. This solution seeks to comply with the quality parameters required by each service in an intelligent hospital environment. Finally, we present the results collected from the test scenarios, where it is noticeable the prioritization and better administration of network resources in scenario of high traffic data in the network. Thus, justifying the implementation of the SDN paradigm in integrated clinical environments.