Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/19888
Título: | Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks |
Autor(es): | Calçada, Tânia Cortez, Paulo Ricardo, Manuel |
Palavras-chave: | SVM Relative importance Data mining channel assignment hidden nodes Mesh networks miss ratio multi-channel node density single-radio topology metrics |
Data: | Abr-2012 |
Editora: | IEEE |
Revista: | Ieee Wireless Communications and Networking Conference, Wcnc |
Resumo(s): | This paper quantifies the impact of topological characteristics on the performance of single radio multichannel IEEE802.11 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 per- formance 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/19888 |
ISBN: | 978-1-4673-0437-5 |
DOI: | 10.1109/WCNC.2012.6214062 |
ISSN: | 1525-3511 |
Versão da editora: | http://ieeexplore.ieee.org/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2012-wcnc.pdf | Documento principal | 982,68 kB | Adobe PDF | Ver/Abrir |