Research Article
Principal Component Analysis of Mobility Data from an Operational GPRS Network
@INPROCEEDINGS{10.1109/CHINACOM.2006.344731, author={Charlotte Dumard and Fabio Ricciato and Thomas Zemen}, title={Principal Component Analysis of Mobility Data from an Operational GPRS Network}, proceedings={1st International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2007}, month={4}, keywords={}, doi={10.1109/CHINACOM.2006.344731} }- Charlotte Dumard
Fabio Ricciato
Thomas Zemen
Year: 2007
Principal Component Analysis of Mobility Data from an Operational GPRS Network
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2006.344731
Abstract
We present a preliminary analysis of mobility data collected from an operational GPRS network. The input data are time-series counting the number of mobile stations present in each of 126 sample routing areas at equally spaced instants (5 min) during one full week. The time-series were extracted from packet-level traces captured by passively monitoring a subset of the Gb links of the network of Mobilkom Austria AG & Co KG during October 2004. We apply the principal component analysis (PCA) to this dataset. The PCA offers a simple method for classifying the routing areas into two main groups, residential and business areas, plus a few "atypical" ones. Additionally, we address the problem of robustness of the PCA to temporary local gaps in the input data
