Estimação de vazão baseada em modelagem e simulação do controle de acesso ao meio em redes PLC

Detalhes bibliográficos
Ano de defesa: 2010
Autor(a) principal: VASQUES, Thiago Lara lattes
Orientador(a): VIEIRA, Flávio Henrique Teles lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Mestrado em Engenharia Elétrica e de Computação
Departamento: Engenharia
País: BR
Palavras-chave em Português:
PLC
BPL
Palavras-chave em Inglês:
PLC
BPL
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tde/959
Resumo: We carried out a study on throughput estimation based on analysis and modeling of the medium access control in HomePlug 1.0 standard based PLC networks. The data communication using electrical energy wires has advantages such as presenting characteristics of ubiquity due to the existent infrastructure, but faces significant obstacles as fading and noise. The main standard of this kind of home network is the HomePlug, which defines a protocol based on the method of multiple access with collision avoidance (CSMA/CA). The HomePlug adds to the CSMA/CA a technique called deferral counter (DC) that adapts the contention of the nodes in accessing the medium according to network load. The objective of this work is todo a comparative study of the throughput, which is the ratio of the packet payload, i.e., the amount of data that is inserted into the body of the datagram, and the frame transmission time. To this end, we evaluate what is the theoretical maximum throughput of the PLC channel, we developed a simulator for the CSMA/CA and we propose a simple probabilistic model to describe the throughput on the network PLC. Finally, we make a comparison between the results obtained with the simulator and the probabilistic model to those observed from a real PLC network, proving that the results of the theoretical maximum throughput and the simulation results are close and that the probability model becomes a tool for calculating throughput in PLC networks.