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    Energy efficient indoor tracking on smartphones

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    Publication date
    2014-10
    Author
    Yao, D.Z.
    Yu, C.
    Dey, A.K.
    Koehler, C.
    Min, Geyong
    Yang, L.T.
    Jin, H.
    Keyword
    Mobile computing; WiFi-location; Energy-aware systems; Motion learning
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Continuously identifying a user’s location context provides new opportunities to understand daily life and human behavior. Indoor location systems have been mainly based on WiFi infrastructures which consume a great deal of energy mostly due to keeping the user’s WiFi device connected to the infrastructure and network communication, limiting the overall time when a user can be tracked. Particularly such tracking systems on battery-limited mobile devices must be energy-efficient to limit the impact on the experience of using a phone. Recently, there have been a lot of studies of energy-efficient positioning systems, but these have focused on outdoor positioning technologies. In this paper, we propose a novel indoor tracking framework that intelligently determines the location sampling rate and the frequency of network communication, to optimize the accuracy of the location data while being energy-efficient at the same time. This framework leverages an accelerometer, widely available on everyday smartphones, to reduce the duty cycle and the network communication frequency when a tracked user is moving slowly or not at all. Our framework can work for 14 h without charging, supporting applications that require this location information without affecting user experience.
    URI
    http://hdl.handle.net/10454/10817
    Version
    No full-text in the repository
    Citation
    Yao, D. Z., Yu, C., Dey, A. K., Koehler, C., Min, G. Y., Yang, L. T. and Jin, H. (2014) Energy efficient indoor tracking on smartphones. Future Generation Computer Systems-the International Journal of Grid Computing and Escience, 39, 44-54.
    Link to publisher’s version
    https://doi.org/10.1016/j.future.2013.12.032
    Type
    Article
    Collections
    Engineering and Informatics Publications

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