Modernly, main Internet traffic is by the means of wireless network, due to the high mobility requirements and surging number of portable electronic devices users. Rapid growth of demand for uninterrupted access to vast amounts of information that are available in Internet forces network operators to focus on network reliability and to anticipate potential events such as network overload, that could pose threat for sustained delivery of data. In this paper Author investigated efficiency of WiFi open network in building located at main campus of Wrocław University of Science and Technology (WUST). The database analyzed in this paper consist data from two monthly periods, namely May of 2014 and 2015. The idea of research was to create spatial model prediction of WiFi network efficiency. Models of prediction contains two important parameters of WiFi network: number of users and load channel utilization. Spatial (3D) predictions for two database were made with using geostatistical co-simultaion method Turning Bands. Obtained results were compared with each other and conclusions with future research directions to WiFi network efficiency predictions were drawn.
CITATION STYLE
Kamińska-Chuchmała, A. (2019). Spatial Models of Wireless Network Efficiency Prediction by Turning Bands Co-simulation Method. In Advances in Intelligent Systems and Computing (Vol. 771, pp. 155–164). Springer Verlag. https://doi.org/10.1007/978-3-319-94120-2_15
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