Programa de Pós-Graduação em Engenharia Elétrica e de Computação
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Doctoral Thesis Modelo analítico para avaliação da estabilidade de links em redes industriais sem fio(2019-12-09) Florêncio, Heitor Medeiros; Dória Neto, Adrião Duarte; ; ; Salazar, Andres Ortiz; ; Martins, Daniel Lopes; ; Brandão, Dennis; ; Melo, Jorge Dantas de;Wireless Sensor Networks (WSN) have emerged in the industrial environment with the purpose of increasing flexibility and deploying measurement and actuation elements in hard to reach areas. However, due to the peculiarities of wireless communication in the industrial environment, the use of metrics to evaluate the performance of communication links is crucial. An essential property for assessing network behavior is the stability of links. Several studies define metrics for evaluating link stability using different parameters. This thesis presents an analytical model for evaluating link stability based on received signal strength and packet delivery rate. The results obtained through tests performed with different scenarios showed that the analytical model can identify link installability situations when it comes to high variation in received signal strength and low packet delivery. Then, an ISA 100.11a network control system was developed to validate the model proposed in this work. The results obtained with the application of the model in the level control system presented steady state error values below the predetermined maximum limit, while in the control tests that did not consider the link stability factor the error exceeded the limit.Master Thesis Ferramenta para avaliação e inferência de parâmetros de redes industriais sem fio(Universidade Federal do Rio Grande do Norte, 2015-07-20) Florêncio, Heitor Medeiros; Dória Neto, Adrião Duarte; ; http://lattes.cnpq.br/1987295209521433; ; http://lattes.cnpq.br/6422930980833254; Brandão, Dennis; ; http://lattes.cnpq.br/6838931677289559; Silva, Ivanovitch Medeiros Dantas da; ; http://lattes.cnpq.br/3608440944832201; Oliveira, Luiz Affonso Henderson Guedes de; ; http://lattes.cnpq.br/7987212907837941Wireless sensor networks (WSN) have gained ground in the industrial environment, due to the possibility of connecting points of information that were inaccessible to wired networks. However, there are several challenges in the implementation and acceptance of this technology in the industrial environment, one of them the guaranteed availability of information, which can be influenced by various parameters, such as path stability and power consumption of the field device. As such, in this work was developed a tool to evaluate and infer parameters of wireless industrial networks based on the WirelessHART and ISA 100.11a protocols. The tool allows quantitative evaluation, qualitative evaluation and evaluation by inference during a given time of the operating network. The quantitative and qualitative evaluation are based on own definitions of parameters, such as the parameter of stability, or based on descriptive statistics, such as mean, standard deviation and box plots. In the evaluation by inference uses the intelligent technique artificial neural networks to infer some network parameters such as battery life. Finally, it displays the results of use the tool in different scenarios networks, as topologies star and mesh, in order to attest to the importance of tool in evaluation of the behavior of these networks, but also support possible changes or maintenance of the system.