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2014 IEEE International Conference on Pervasive Computing and Communications (PerCom) (2014)
Budapest, Hungary
March 24, 2014 to March 28, 2014
ISBN: 978-1-4799-3445-4
pp: 156-162
Niels Brouwers , Embedded Software Group, Delft University of Technology, The Netherlands
Marco Zuniga , Embedded Software Group, Delft University of Technology, The Netherlands
Koen Langendoen , Embedded Software Group, Delft University of Technology, The Netherlands
ABSTRACT
Wi-Fi based localization has proven to be a compelling alternative to GPS for mobile devices. But Wi-Fi scanning consumes a large amount of energy on smartphones because they perform full scans, i.e. all the channels in their band(s) are visited. This inefficient behavior greatly reduces battery life, raising the threshold for user acceptance. We propose a novel, incremental approach that reduces the energy consumption of Wi-Fi localization by scanning just a few selected channels. We evaluate our incremental scanning approach on eight Android devices using traces from five test subjects. Our results show that, compared to full scans, incremental scanning can reduce the energy consumption between 20.64% and 57.79%. The modern smartphones included in our study all show an energy reduction of at least 40%.
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CITATION
Niels Brouwers, Marco Zuniga, Koen Langendoen, "Incremental Wi-Fi scanning for energy-efficient localization", 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom), vol. 00, no. , pp. 156-162, 2014, doi:10.1109/PerCom.2014.6813956
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