Publications

@conference{campo020,

title = {Characterizing Mobile Telephony Signals in Indoor Environments for Their Use in Fingerprinting-Based User Location },

author = {Alicia Rodriguez-Carrion and Celeste Campo-Vázquez and Carlos García-Rubio and Estrella García-Lozano and Alberto Cortés},

doi = {https://doi.org/10.1007/978-3-319-03176-7_29},

issn = {978-3-319-03176-7},

year  = {2013},

date = {2013-05-08},

urldate = {2013-05-08},

booktitle = {Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction},

pages = {223-230},

publisher = {Springer International Publishing},

abstract = {Fingerprinting techniques have been applied to locate users in indoor scenarios using WiFi signals. Although mobile telephony network is used for outdoor location, it is widely deployed and their signal more stable, thus being also a candidate to be used for fingerprinting. This paper describes the characterization of GSM/UMTS signals in indoor scenarios to check if their features allow to use them for constructing the radio maps needed for fingerprinting purposes. We have developed an Android application to collect the received signal information, such that makes the measurement process cheaper and easier. Measurements show that changes in location and device orientation can be identified by observing the received signal strength of the connected and neighboring base stations. Besides, detecting this variability is easier by using the GSM network than with UMTS technology. Therefore mobile telephony network seems suitable to perform fingerprinting-based indoor location.},

keywords = {fingerprinting, gsm-based location, indoor location, mobile device-based location, UMTS},

pubstate = {published},

tppubtype = {conference}

}

@conference{campo024,

title = {Analysis of Location Prediction Performance of LZ Algorithms using GSM Cell-based Location Data},

author = {Alicia Rodriguez-Carrion and Carlos García-Rubio and Celeste Campo-Vázquez and Alberto Cortés and Estrella García-Lozano and Patricia Noriega-Vivas},

url = {https://hdl.handle.net/10016/13103

https://e-archivo.uc3m.es/bitstreams/66c1a251-8ce0-4a0f-b342-86a8b45e60e8/download},

year  = {2011},

date = {2011-12-20},

urldate = {2011-12-20},

booktitle = {5th International Symposium on Ubiquitous Computing and Ambient Intelligence (UCAMI 2011)},

publisher = {UCAMI},

abstract = {Predictions about users' next locations allow bringing forward their future context, thus having additional time to react. To make such predictions, algorithms capable of learning mobility patterns and estimating the next location are needed. This work is focused on making the predictions on mobile terminals, thus resource consumption being an important constraint. Among the predictors with low resource consumption, the family of LZ algorithms has been chosen to study their performance, analyzing the results drawn from processing location records of 95 users. The main contribution is to divide the algorithms into two phases, thus being possible to use the best combination to obtain better prediction accuracy or lower resource consumption.},

keywords = {españavirtual, GSM, gsm-based location, lz, LZ Algorithms, prediction, predictions},

pubstate = {published},

tppubtype = {conference}

}