Modeling and Improving the Energy Performance of GPS Receivers for Mobile Applications

TL;DR

This paper develops an energy model for GPS receivers in mobile devices, revealing how software parameters affect power consumption and proposing a selective satellite tracking algorithm that reduces energy use by about 21-23% while maintaining accuracy.

Contribution

It introduces a linear energy model for GPS receivers and a novel selective tracking algorithm that improves energy efficiency without sacrificing positioning accuracy.

Findings

Energy consumption is largely linear with the number of tracked satellites.

Selective tracking achieves 20.9-23.1% energy savings.

Positioning accuracy remains around 12 meters with the proposed method.

Abstract

Integrated GPS receivers have become a basic module in today's mobile devices. While serving as the cornerstone for location based services, GPS modules have a serious battery drain problem due to high computation load. This paper aims to reveal the impact of key software parameters on hardware energy consumption, by establishing an energy model for a standard GPS receiver architecture as found in both academic and industrial designs. In particular, our measurements show that the receiver's energy consumption is in large part linear with the number of tracked satellites. This leads to a design of selective tracking algorithm that provides similar positioning accuracy (around 12m) with a subset of selected satellites, which translates to an energy saving of 20.9-23.1\% on the Namuru board.