ENERGY EFFICIENT GPS SYSTEM USING 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 postprocessed when the data is uploaded to a server, the proposed 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 the portable sensing device platform called CLEON, the accuracy and efficiency of the solution can be evaluated. Compared to more than 30 seconds of heavy signal processing on standalone GPS receivers, COGPS can
achieve three orders of magnitude low energy consumption per location tagging.