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Link Quality Prediction in Wireless Networks

Timotej Gale (2017) Link Quality Prediction in Wireless Networks. EngD thesis.

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    The number of wireless devices is increasing rapidly. The wireless spectrum is thus becoming crowded as various technologies co-exist and interfere with each other. One possible way to improve the performance of existing technologies is to develop accurate link quality estimators. In this thesis, we propose, implement and evaluate a novel approach to link quality prediction based on feature engineering. Following a preliminary analysis of a dataset with Wi-Fi packet traces and a dataset with Sigfox packet traces, we developed new features and built a classification model for link quality prediction. The proposed models vary in performance with respect to accuracy and completeness of predicting different types of links, mainly links of intermediate quality. The best proposed model achieved 95% classification accuracy, which is a substantial improvement compared to the 60% accuracy of the majority classifier.

    Item Type: Thesis (EngD thesis)
    Keywords: data mining, link quality, wireless network, modeling, prediction, estimator
    Number of Pages: 51
    Language of Content: English
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Tomaž Curk299Mentor
    doc. dr. Carolina FortunaComentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537537731)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3914
    Date Deposited: 11 Sep 2017 10:06
    Last Modified: 25 Sep 2017 10:56
    URI: http://eprints.fri.uni-lj.si/id/eprint/3914

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