An ARIMA model for forecasting Wi-Fi data network traffic values
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Redalyc
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional de Colombia
2009
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| _version_ | 1876430361652625408 |
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| author | Cesar Augusto Hernández Suarez |
| author_facet | Cesar Augusto Hernández Suarez |
| contents | An ARIMA model for forecasting Wi-Fi data network traffic values Cesar Augusto Hernández Suarez Octavio José Salcedo Parra Andrés Escobar Díaz Ingeniería data ARIMA network correlation time series This present scientific and technological research was aimed at showing that time series represent an excellent tool for data traffic modelling within Wi-Fi networks. Box-Jenkins methodology (described herein) was used for this purpose. Wi-Fi traffic modelling through correlated models, such as time series, allowed a great part of the data's behaviourl dynamics to be adjusted into a single equation and future traffic values to be estimated based on this. All this is advantageous when it comes to planning integrated coverage, reserving resources and performing more efficient and timely control at different levels of the Wi-Fi data network functional hierarchy. A six order ARIMA traffic model was obtained as a research outcome which predicted traffic with relatively small mean square error values for an 18-day term. 2009 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64311752011 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.29 |
| format | Artículo científico |
| id | redalyc_64311752011 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | An ARIMA model for forecasting Wi-Fi data network traffic values Cesar Augusto Hernández Suarez Ingeniería data ARIMA network correlation time series An ARIMA model for forecasting Wi-Fi data network traffic values Cesar Augusto Hernández Suarez Octavio José Salcedo Parra Andrés Escobar Díaz Ingeniería data ARIMA network correlation time series This present scientific and technological research was aimed at showing that time series represent an excellent tool for data traffic modelling within Wi-Fi networks. Box-Jenkins methodology (described herein) was used for this purpose. Wi-Fi traffic modelling through correlated models, such as time series, allowed a great part of the data's behaviourl dynamics to be adjusted into a single equation and future traffic values to be estimated based on this. All this is advantageous when it comes to planning integrated coverage, reserving resources and performing more efficient and timely control at different levels of the Wi-Fi data network functional hierarchy. A six order ARIMA traffic model was obtained as a research outcome which predicted traffic with relatively small mean square error values for an 18-day term. 2009 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64311752011 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.29 |
| title | An ARIMA model for forecasting Wi-Fi data network traffic values |
| topic | Ingeniería data ARIMA network correlation time series |
| url | https://www.redalyc.org/articulo.oa?id=64311752011 |