DocumentCode
138362
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
fYear
2014
fDate
24-28 March 2014
Firstpage
156
Lastpage
162
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
Conference_Location
Budapest
Type
conf
DOI
10.1109/PerCom.2014.6813956
Filename
6813956
Link To Document