Uma arquitetura para otimização do acesso em redes em malha sem fio

Detalhes bibliográficos
Ano de defesa: 2008
Autor(a) principal: Gleicy Aparecida Cabral
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
UFMG
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/1843/RVMR-7L6M5T
Resumo: Wireless mesh networks are dynamically self-organized and self-configured, with the nodes in the network automatically establishing and maintaining mesh connectivity among themselves. Wireless mesh networks consist of three types of nodes: clients, routers and gateways. Routers have minimal or no mobility. Routers form the backbone of mesh networks. Multi-hop communication is used in wireless mesh network and the gateway/bridge functionalities in nodes enable the integration of wireless mesh networks with various existing wireless networks such as Internet, Wi-Fi, cellular, etc.Wireless mesh networks planning involves several variables as network topology, mobility, traffic, cost and capability. This paper presents a mathematical model for the planning of wireless mesh networks. The model solution determines the routes between clients and gateways that minimize the installation costs of the routers and the costs of links that are part of the routes. Experiments are conducted for model evaluation using optimization software CPLEX. Experiments show that the planning of wireless mesh networks is a computationally difficult problem. In this work is also developed a simulator for wireless mesh networks over the simulation frameworks JiST and SWANS. The proposed routing algorithm finds routes that also minimize the installation costs of the routers and the costs of links that are part of the routes. The simulation solutions are compared with the solutions found by CPLEX. The simulator is robust and efficient. It finds good solutions and it is able to simulate large networks.