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Article
Improving GPS Service Via Social Collaboration
The 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS) (2013)
  • Kaikai Liu, University of Florida
  • Qiuyuan Huang, University of Florida
  • Jiecong Wang, University of Florida
  • Xiaolin Li, University of Florida
  • Dapeng Oliver Wu, University of Florida
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.
Keywords
  • Localization,
  • GPS,
  • Smartphone,
  • Social Computing
Publication Date
October, 2013
DOI
10.1109/MASS.2013.78
Publisher Statement
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Citation Information
Kaikai Liu, Qiuyuan Huang, Jiecong Wang, Xiaolin Li, et al.. "Improving GPS Service Via Social Collaboration" The 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS) (2013) p. 393 - 401
Available at: http://works.bepress.com/kaikai-liu/6/