NDLI: Experiences with eNav: a low-power vehicular navigation system

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Experiences with eNav: a low-power vehicular navigation system

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Experiences with eNav: a low-power vehicular navigation system

Content Provider	ACM Digital Library
Author	Li, Shen Su, Lu Wang, Shiguang Choudhury, Romit Roy Hu, Shaohan Al Amin, Md Tanvir Abdelzaher, Tarek F. Gu, Siyu Liu, Hengchang Pan, Chenji Nath, Suman
Abstract	This paper presents experiences with eNav, a smartphone-based vehicular GPS navigation system that has an energy-saving 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 on-board 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.
Starting Page	433
Ending Page	444
Page Count	12
File Format	PDF
ISBN	9781450335744
DOI	10.1145/2750858.2804287
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Navigation Dead-reckoning Gps Low-power Smartphone
Content Type	Text
Resource Type	Article

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