TY - GEN
T1 - Experiences with eNav
T2 - 3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
AU - Hu, Shaohan
AU - Su, Lu
AU - Li, Shen
AU - Wang, Shiguang
AU - Pan, Chenji
AU - Gu, Siyu
AU - Amin, Md Tanvir Al
AU - Liu, Hengchang
AU - Nath, Suman
AU - Choudhury, Romit Roy
AU - Abdelzaher, Tarek F.
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/9/7
Y1 - 2015/9/7
N2 - This paper presents experiences with eNav, a smartphonebased vehicular GPS navigation system that has an energysaving location sensing mode capable of drastically reducing navigation energy needs. Traditional navigation systems sample the phone's GPS at a fixed rate (usually around 1Hz), regardless of factors such as current vehicle speed and distance from the next navigation waypoint. This practice results in a large energy consumption and unnecessarily reduces the attainable length of a navigation session, if the phone is left unplugged. The paper investigates two questions. First, would drivers be willing to sacrifice some of the affordances of modern navigation systems in order to prolong battery life? Second, how much energy could be saved using straightforward alternative localization mechanisms, applied to complement GPS for vehicular navigation? According to a survey we conducted of 500 drivers, as much as 91% of drivers said they would like to have a vehicular navigation application with an energy saving mode. To meet this need, eNav exploits onboard accelerometers for approximate location sensing when the vehicle is sufficiently far from the next navigation waypoint (or is stopped). A user test-study of eNav shows that it results in roughly the same user experience as standard GPS navigation systems, while reducing navigation energy consumption by almost 80%. We conclude that drivers find an energy-saving mode on phone-based vehicular navigation applications desirable, even at the expense of some loss of functionality, and that significant savings can be achieved using straightforward location sensing mechanisms that avoid frequent GPS sampling.
AB - This paper presents experiences with eNav, a smartphonebased vehicular GPS navigation system that has an energysaving location sensing mode capable of drastically reducing navigation energy needs. Traditional navigation systems sample the phone's GPS at a fixed rate (usually around 1Hz), regardless of factors such as current vehicle speed and distance from the next navigation waypoint. This practice results in a large energy consumption and unnecessarily reduces the attainable length of a navigation session, if the phone is left unplugged. The paper investigates two questions. First, would drivers be willing to sacrifice some of the affordances of modern navigation systems in order to prolong battery life? Second, how much energy could be saved using straightforward alternative localization mechanisms, applied to complement GPS for vehicular navigation? According to a survey we conducted of 500 drivers, as much as 91% of drivers said they would like to have a vehicular navigation application with an energy saving mode. To meet this need, eNav exploits onboard accelerometers for approximate location sensing when the vehicle is sufficiently far from the next navigation waypoint (or is stopped). A user test-study of eNav shows that it results in roughly the same user experience as standard GPS navigation systems, while reducing navigation energy consumption by almost 80%. We conclude that drivers find an energy-saving mode on phone-based vehicular navigation applications desirable, even at the expense of some loss of functionality, and that significant savings can be achieved using straightforward location sensing mechanisms that avoid frequent GPS sampling.
KW - Dead-reckoning
KW - GPS
KW - Low-power
KW - Navigation
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=84960864480&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960864480&partnerID=8YFLogxK
U2 - 10.1145/2750858.2804287
DO - 10.1145/2750858.2804287
M3 - Conference contribution
AN - SCOPUS:84960864480
T3 - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 433
EP - 444
BT - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery
Y2 - 7 September 2015 through 11 September 2015
ER -