Modelo de otimização multiobjetivo para roteamento em redes sem fio

• Ano de defesa: 2017
• Autor(a) principal: Medeiros, Vinícius Nunes
• Orientador(a): Borges, Vinicius da Cunha Martins
• Banca de defesa: Borges, Vinicius da Cunha Martins, Silvestre, Bruno Oliveira, Soares, Telma Woerle de Lima, Cerqueira, Eduardo Coelho
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Roteamento; Rede sem fio; Rede de sensores sem fio; Rede em malha sem fio; Multiobjetivo; Balanceamento de carga; Menor caminho; Qualidade de transmissão
• Palavras-chave em Inglês: Routing; Wireless networks; Wireless sensor networks; Wireless mesh network; Multiobjective; Load balancing; Lower path; Transmission quality
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/7813

Owing to the huge range of application scenarios for wireless networks, new prospects for the current and future applications of the Internet, making new communication paradigms such as the Internet of Things (IoT) and 5G networks. Two important networks are included in this scenery: Wireless Sensor Networks (WSN) provide key devices for developing the IoT communication paradigm, such as the sensors used for collecting different kind of information, and the Wireless Mesh Network (WMN) that enable interoperability between heterogeneous network, covering large areas with at am low cost.Eeach one these networks have specific characteristics, for example, the WSN has serious restrictions (e.g. power consumption, low speed wireless links, interference) while the WMN offers high data rates through multiple radios and channels. In this context, it is necessary to find solutions that can ensure more efficient communication system based on the optimized utilization of the network resources. So it was created a multi-objective routing algorithm, called Routing-Aware of path Length, Link quality, and traffic Load (RALL). This seeks to strike a balance between three objectives: to minimize the network bottlenecks, to reduce path length, and to avoid links with low quality, for resolution the routing problem for WSN, Then the RALL approach was adapted to match the specialty of the WMN, entitled Routing Aware of path Length, Link quality, and traffic Load Weighted (RALLW). The results indicate that combining multiple objectives when performing routing can benefit networks performance. The RALL and RALLW results in a good performance with regard to the delivery rate, throughput, delay, and power consumption when compared to other approaches, however the RALLW approach did not significant differences when compared to the RALL.