CEGF: corner extraction by GPS filtering for power-efficient location uploading

  • Authors:

  • Shih-Yung Juan;Yi-Fan Chung;Chung-Ta King;Cheng-Hsin Hsu

  • Affiliations:

  • Inst. of ISA, National Tsing Hua University., Hsinchu, Taiwan Roc;Dept. of CS, National Tsing Hua University., Hsinchu, Taiwan Roc;Dept. of CS, National Tsing Hua University., Hsinchu, Taiwan Roc;Dept. of CS, National Tsing Hua University., Hsinchu, Taiwan Roc

  • Venue:
  • Proceeding of the 11th annual international conference on Mobile systems, applications, and services
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Over the past few years, personal sensing applications, such as travel path sharing and location recording, have been more and more popular. These applications use GPS sensors to record track points on smartphones and upload the track points to clouds in real time for information sharing. However, uploading a lot of GPS points may lead to heavy network traffic and much higher power consumption. To address the problem, we present corner extraction by GPS filtering (CEGF) that extracts corner feature GPS points (CFGPs) from GPS track points (GTPs). Applications only need to upload the CFGPs to save the uploading energy on smartphones. CFGPs can be regarded as characteristic points of corners to represent the corresponding roads. To reduce the number of uploaded points, we use CEGF to filter out the CFGPs from a large amount of GTPs.