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The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications

SOCO’18-CISIS’18-ICEUTE’18 2018: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 pp 155–164Cite as

Spatial Models of Wireless Network Efficiency Prediction by Turning Bands Co-simulation Method

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 771))

Abstract

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.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Anna Kamińska-Chuchmała

Authors
  1. Anna Kamińska-Chuchmała
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Corresponding author

Correspondence to Anna Kamińska-Chuchmała .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Manuel Graña

  2. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Salamanca, Spain

    José Antonio Sáez

  6. Department of Industrial Engineering, University of A Coruña, La Coruña, La Coruña, Spain

    Héctor Quintián

  7. University of Salamanca, Salamanca, Salamanca, Spain

    Emilio Corchado

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Kamińska-Chuchmała, A. (2019). Spatial Models of Wireless Network Efficiency Prediction by Turning Bands Co-simulation Method. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_15

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