TY - GEN
T1 - Energy-efficient localization and tracking on smartphones
T2 - 11th International Conference on Future Internet Technologies, CFI 2016
AU - Wang, Yufeng
AU - Bu, Yuanting
AU - Jin, Qun
AU - Vasilakos, Athanasios V.
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61171092
Publisher Copyright:
© Copyright 2016 ACM.
PY - 2016/6/15
Y1 - 2016/6/15
N2 - 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.
AB - 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.
KW - Design principle.
KW - Energy-efficient
KW - Localization
UR - http://www.scopus.com/inward/record.url?scp=84983036725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983036725&partnerID=8YFLogxK
U2 - 10.1145/2935663.2935675
DO - 10.1145/2935663.2935675
M3 - Conference contribution
AN - SCOPUS:84983036725
T3 - ACM International Conference Proceeding Series
SP - 29
EP - 35
BT - Proceedings of the 11th International Conference on Future Internet Technologies, CFI 2016
PB - Association for Computing Machinery
Y2 - 15 June 2016 through 17 June 2016
ER -
