Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Tania Calcada (Autor) Outra; Paulo Cortez (Autor) Outra; Manuel Ricardo (Autor) FEUP

Ata de Conferência Internacional

Título: 2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)

Páginas: 1725-1730

IEEE Wireless Communications and Networking Conference (WCNC)

Paris, FRANCE, APR 01-04, 2012

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de comunicações > Engenharia de telecomunicações

Outras Informações

ID Authenticus: P-008-58E

DOI: 10.1109/WCNC.2012.6214062

Abstract (EN): This paper quantifies the impact of topological characteristics on the performance of single radio multichannel IEEE 802.11 mesh networks. Topological characteristics are the number of nodes per subnetwork, the hop count, the neighbor node density, the hidden nodes, the number of nodes in the neighborhood of the gateway, and the hidden nodes in the neighborhood of the gateway. Network performance metrics are throughput, fairness and delay. The data mining Support Vector Machine (SVM) model was used to extract the relationships between the network topology metrics and the network performance metrics based on data results obtained through ns-2 simulation of random networks. The results obtained can be used as a basis to design channel assignment algorithms or to aid the deployment and management of single radio wireless mesh networks.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6