Abstract
Recently, mostly users prefer an access to the wireless network than wired. Due to the fact of mobility of users and choosing of mobile devices such as smartphone, tablet, smartwatch etc. Extensively growth of wireless network users affect on reliable connection to the network. In this research parameters from Access Points (APs) contained in PWR-WiFi an open WiFi network belonging to Wrocław University of Science and Technology (WUST) in Poland are investigated. A central issue in this paper is to create space models prediction of WiFi network efficiency by Turning Bands Method (TBM). Statistical analysis of considered WiFi daily data were conducted. Acquired results were discussed and conclusions with future research directions to WiFi network efficiency predictions were drawn.
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Kamińska-Chuchmała, A. (2020). Characteristic of WiFi Network Based on Space Model with Using Turning Bands Co-simulation Method. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_27
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DOI: https://doi.org/10.1007/978-3-030-20055-8_27
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