Uma análise de modelamento de canal e da confiabilidade em redes de sensores sem fio em linha

• Ano de defesa: 2018
• Autor(a) principal: Aguiar, Larissa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Engenharia Elétrica; Programa de Pós-Graduação em Engenharia Elétrica; UFPB
• Palavras-chave em Português: Redes de sensores sem fio em linha; OMNet++/Castalia; Modelamento de canal sem fio; Confiabilidade; Linear wireless sensor networks; Wireless channel modeling; Reliability; Sensor remoto; Redes de sensores inalámbricos en línea; Modelado de canal inalámbrico; Confiabilidad; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/123456789/13472

Wireless channel modeling is important to perform evaluations of radiofrequency signal propagation in a certain application; that is the case, for example, concerning the communication behavior between sensor nodes of a Wireless Sensor Network (WSN). Different simulators used signal propagation models to simulate the wireless channel. Considering a comparative study of some tools, in this research it was used the OMNet++/Castalia that allows to simulate, among other possibilities, environmental conditions that interfere in the transmission and reception of packets; the effects of AWGN noise; and analises propagation models of wireless channel, such as logdistance, lognormal, Rayleigh fading and Rice fading models, for example. This research work is part of a project to implement a Linear WSN (LWSN) that has as its main purpose to monitor urban environmental variables, particularly related to atmospheric pollution, and characterized by high reliability of communication between sensor nodes. In this context, simulations were performed considering different distances between two sensor nodes of a LWSN in order to obtain values of Packet Error Rate (PER) and Received Signal Strength Indicator (RSSI). Using Root Mean Square Error (RMSE), the values obtained through simulation were compared with real values obtained in a field and the parameters of an optimal propagation model were obtained. As a result, the propagation model that most approached the real environment was lognormal shading with Rayleigh fading and AWGN noise. With respect to reliability, a test configuration was implemented with a LWSN with four sensor nodes consisting of the following configurations: (I) All sensor nodes operating without failures; (II) An intermediate sensor node failing and, (III) Two intermediate sensor nodes failing. Based on theses configurations, it was possible to make an analysis of the reliability of the network with the main result obtaining an optimal distance between nodes of 18.3 m between the considered distances.