Title :
Incremental Wi-Fi scanning for energy-efficient localization
Author :
Brouwers, Niels ; Zuniga, Marco ; Langendoen, Koen
Author_Institution :
Embedded Software Group, Delft Univ. of Technol., Delft, 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%.
Keywords :
energy consumption; smart phones; wireless LAN; Android devices; GPS; energy consumption; energy efficient localization; full scans; incremental Wi-Fi scanning; incremental scanning; mobile devices; smart phones; user acceptance; Accelerometers; Accuracy; Conferences; Energy consumption; Global Positioning System; IEEE 802.11 Standards; Smart phones;
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/PerCom.2014.6813956