SciELO - Scientific Electronic Library Online

 
 número31Least Square Support Vector Machine Classifier vs a Logistic Regression Classifier on the Recognition of Numeric Digits índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


TecnoLógicas

versão impressa ISSN 0123-7799versão On-line ISSN 2256-5337

Resumo

ASTAIZA-HOYOS, Evelio; BERMUDEZ-OROZCO, Héctor F.  e  MENDEZ-SUAREZ, Diego A.. Performance Evaluation of a Self-Similar Model for Traffic on IEEE 802.11 Networks. TecnoL. [online]. 2013, n.31, pp.13-36. ISSN 0123-7799.

Since the discovery of the traffic fractal properties ("scaling") in packet switched networks, there have been numerous studies and has been found this property in various data networks. This research evaluates experimentally a model based on self-similar processes in 802.11 networks, to characterize the Layer 2 traffic. Model validation is performed in two stages. In the first stage, we obtain the statistical characteristics of the actual traffic coursing on the network. In the second stage, we define a performance measure which applies to the actual data and the model tested to verify the performance of the model fit to the actual network performance through simulation and calculation of the correlation between actual performance and performance estimated by the model; generating a significant contribution to the design, planning and dimensioning of the capacity of this kind of networks, for which usually the design, planning and dimensioning takes place based only in coverage and not necessarily in the required capacity given the operation constraints.

Palavras-chave : WLAN; MAC; time slot; contention window; selfsimilar; validation; capacity planning model; correlation.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons