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CO-GPS: Energy Efficient GPS Sensing with Cloud Offloading
Abstract:
Location is a fundamental service for mobile computing. Typical GPS receivers,
although widely available for navigation purposes, may consume too much energy
to be useful for many applications. Observing that in many sensing scenarios, the
location information can be post-processed when the data is uploaded to a
server, we design a cloud-offloaded GPS (CO-GPS) solution that allows a sensing
device to aggressively duty-cycle its GPS receiver and log just enough raw GPS
signal for post-processing. Leveraging publicly available information such as GNSS
satellite ephemeris and an Earth elevation database, a cloud service can derive
good quality GPS locations from a few milliseconds of raw data. Using our design
of a portable sensing device platform called CLEON, we evaluate the accuracy and
efficiency of the solution. Compared to more than 30 seconds of heavy signal
processing on standalone GPS receivers, we can achieve three orders of
magnitude lower energy consumption per location tagging.

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