Improving GPS service via social collaboration

Kaikai Liu, Qiuyuan Huang, Jiecong Wang, Xiaolin Li, Dapeng Oliver Wu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Citations (Scopus)

Abstract

The popularity of GPS-enabled smartphones enables a wide variety of new location-based or location-aware services and applications. However, the GPS module in a smartphone produces inaccurate position estimates and incurs high energy consumption, which inhibits the wide use of location-aware applications. To address this, we propose a social-aided cooperative location optimization (Coloc) scheme, which is capable of improving positioning accuracy and achieving low energy consumption. Specifically, our scheme enhances positioning accuracy by fusing the GPS positions of multiple co-located smartphones in a social network, or by neighborhood-based weighted least-squares estimation when relative distances between smartphones are available. The energy efficiency is achieved by sharing location information among co-located users and lower the update rate of the GPS module without sacrificing the accuracy. To validate our proposed approach, we conduct experiments in stationary and moving scenarios. Experimental results show that our proposed cooperative localization scheme can achieve sufficient performance gains in both indoor and outdoor environments. © 2013 IEEE.
Original languageEnglish
Title of host publicationProceedings - IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013
Pages393-401
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event10th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013 - Hangzhou, China
Duration: 14 Oct 201316 Oct 2013

Publication series

NameProceedings - IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013

Conference

Conference10th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013
PlaceChina
CityHangzhou
Period14/10/1316/10/13

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • GPS
  • Localization
  • Smartphone
  • Social Computing

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