TY - GEN
T1 - Poster abstract
T2 - 13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014
AU - Hu, Shaohan
AU - Su, Lu
AU - Li, Shen
AU - Wang, Shiguang
AU - Pan, Chenji
AU - Gu, Siyu
AU - Al Amin, Md Tanvir
AU - Liu, Hengchang
AU - Nath, Suman
AU - Choudhury, Romit Roy
AU - Abdelzaher, Tarek F.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84904649062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904649062&partnerID=8YFLogxK
U2 - 10.1109/IPSN.2014.6846763
DO - 10.1109/IPSN.2014.6846763
M3 - Conference contribution
AN - SCOPUS:84904649062
SN - 9781479931460
T3 - IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
SP - 281
EP - 282
BT - IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
PB - IEEE Computer Society
Y2 - 15 April 2014 through 17 April 2014
ER -