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CO-GPS: Energy efficient GPS sensing with cloud offloading

  • Jie Liu*
  • , Bodhi Priyantha
  • , Ted Hart
  • , Yuzhe Jin
  • , Woosuk Lee
  • , Vijay Raghunathan
  • , Heitor S. Ramos
  • , Qiang Wang
  • *Corresponding author for this work
  • Microsoft USA
  • Purdue University
  • Universidade Federal de Alagoas

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number7164360
Pages (from-to)1348-1361
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume15
Issue number6
DOIs
StatePublished - 1 Jun 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Assisted GPS
  • Cloud-offloading
  • Coarse-time Navigation
  • Location

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