Energy-efficient localization and tracking on smartphones: Design principle and solutions

Yufeng Wang, Yuanting Bu, Qun Jin, Athanasios V. Vasilakos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In recent years, various location based services (LBS) have witnessed great development and are being prevalently used in our life. However, as the foundation of various LBS applications, localization consumes large energy of resource-constraint mobile terminals, especially on smartphones. This paper explicitly proposes three technical principles, substitution, adaption and collaboration to guide energy-efficient localization and tracking schemes on smartphones. Then several typical schemes in indoor or outdoor environments are respectively summarized and compared under the umbrella of those three principles. Moreover, the context-Assisting techniques are also discussed to design energy-efficient LBS applications. Finally, the quantitative metrics to measure the tradeoff between energy and localization performance are summarized. The primary goal of this paper is to comprehensively classify and provide a summary on the sporadic localization schemes (with energy-efficiency as main concern), possible solutions and tradeoffs, and facilitate to develop and deploy the energy-efficient LBS applications.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Future Internet Technologies, CFI 2016
PublisherAssociation for Computing Machinery
Pages29-35
Number of pages7
Volume15-17-June-2016
ISBN (Electronic)9781450341813
DOIs
Publication statusPublished - 2016 Jun 15
Event11th International Conference on Future Internet Technologies, CFI 2016 - Nanjing, China
Duration: 2016 Jun 152016 Jun 17

Other

Other11th International Conference on Future Internet Technologies, CFI 2016
CountryChina
CityNanjing
Period16/6/1516/6/17

Keywords

  • Design principle.
  • Energy-efficient
  • Localization

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Wang, Y., Bu, Y., Jin, Q., & Vasilakos, A. V. (2016). Energy-efficient localization and tracking on smartphones: Design principle and solutions. In Proceedings of the 11th International Conference on Future Internet Technologies, CFI 2016 (Vol. 15-17-June-2016, pp. 29-35). Association for Computing Machinery. https://doi.org/10.1145/2935663.2935675