DocumentCode :
169048
Title :
Poster abstract: ENav — A smartphone-based energy efficient vehicular navigation system
Author :
Shaohan Hu ; Lu Su ; Shen Li ; Shiguang Wang ; Chenji Pan ; Siyu Gu ; Al Amin, Md Tanvir ; Hengchang Liu ; Nath, Siddhartha ; Choudhury, Romit Roy ; Abdelzaher, Tarek F.
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2014
fDate :
15-17 April 2014
Firstpage :
281
Lastpage :
282
Abstract :
We present eNav, a smartphone-based vehicular GPS navigation system that has an energy-saving location sensing mode capable of drastically reducing navigation energy needs. Traditional implementations sample the phone GPS at the highest possible rate (usually 1Hz) to ensure constant highest possible localization accuracy. This practice results in excessive phone battery consumption and reduces the attainable length of a navigation session. The seemingly most common solution would be to always use a car-charger and keep the phone plugged-in during navigation at all times. However, according to a comprehensive survey we conducted, only a small percent of people would actually always carry around their phones´ car-chargers and cables, as doing so is inconvenient and defeats the true “wireless” nature of mobile phones. In addressing this problem, eNav exploits the phone´s lower-energy on-board motion sensors for approximate location sensing when the vehicle is sufficiently far from the next navigation waypoint, using actual GPS sampling only when close. Our user study shows that, while remaining virtually transparent to users, eNav can reduce navigation energy consumption by over 80% without compromising navigation quality or user experience.
Keywords :
Global Positioning System; smart phones; GPS navigation system; GPS sampling; approximate location sensing; car charger; energy saving location sensing mode; mobile phones; navigation quality; navigation session; onboard motion sensors; phone battery consumption; poster abstract; smartphone based energy efficient vehicular navigation system; user experience; Accelerometers; Batteries; Educational institutions; Estimation; Global Positioning System; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-3146-0
Type :
conf
DOI :
10.1109/IPSN.2014.6846763
Filename :
6846763
Link To Document :
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