Análise da eficiência energética de codificação de rede aplicada a redes cooperativas

• Ano de defesa: 2013
• Autor(a) principal: Rayel, Ohara Kerusauskas
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial
• Palavras-chave em Português: Energia - Consumo; Teoria da codificação; Sistemas de comunicação sem fio; Sistemas de transmissão de dados; Códigos corretores de erros (Teoria da informação); Métodos de simulação; Energy consumption; Coding theory; Wireless communication systems; Data transmission systems; Error-correcting codes (Information theory); Simulation methods
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/569

In this dissertation, an energy efficiency analysis of wireless systems is performed, comparing several schemes, from the direct transmission between two nodes, going through cooperative networks, where multiple nodes have independent information to send to a common destination, and getting to the most advanced network-coded cooperative systems. It is intended to evaluate the gain generated by the error rate reduction (caused by the network coding) and by the increase in the diversity order (provided by the cooperation between the nodes) in terms of the energy consumption reduction when transmitting the same amount of information. The analysis is performed considering Nakagami-m block fading, so the influence of some line-of-sight is also evaluated. Through the outage probability equations and a hardware model, energy consumption expressions for each scenario were obtained. Furthermore, through the graphical analysis of the numeric results, it was possible to notice that exists an optimal number of nodes that minimizes the energy consumption of the Generalized Dynamic Network Coding (GDNC) scheme for a given distance. An expression that represents this number was also obtained, and is the great contribution of this work, since if in the network project smaller sets containing the optimal number of nodes (called cooperation clusters) are organized, the energy consumption will be minimized. These results are also presented, and for the considered configuration, the energy saving can reach 10x.