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Thrifty tracking: online GPS tracking with low data uplink usage

Published: 05 November 2013 Publication History
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  • Abstract

    A typical online GPS tracking system uses a cellular uplink to report the location of a device to a central server, and in a study based on 1.6 billion location updates we find at least 90% are sent with a fixed 1--300 second period. Through experiments with the cost of cellular data transmission we also find that every packet sent incurs significant overhead.
    With these observations in mind, we describe a thrifty tracking system that allows the specification of a target error or budget-bound, while it optimizes the other. In our experiments, thrifty tracking outperforms the status quo by up to 20X while providing improved guarantees and flexibility.

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    Cited By

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    • (2022)High-accuracy GNSS localization with low-costProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561031(1-4)Online publication date: 1-Nov-2022
    • (2022)Online Location Trajectory CompressionSpatial Gems, Volume 110.1145/3548732.3548735(7-12)Online publication date: 5-Aug-2022
    • (2019)An Energy Efficient Smartphone Sensors’ Data Fusion for High Rate Position Sampling Demands2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2019.8651755(1-6)Online publication date: Jan-2019
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    Published In

    cover image ACM Conferences
    SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    November 2013
    598 pages
    ISBN:9781450325219
    DOI:10.1145/2525314
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 November 2013

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    Author Tags

    1. GPS tracking
    2. data usage
    3. extrapolation
    4. sampling

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    Overall Acceptance Rate 220 of 1,116 submissions, 20%

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    Cited By

    View all
    • (2022)High-accuracy GNSS localization with low-costProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561031(1-4)Online publication date: 1-Nov-2022
    • (2022)Online Location Trajectory CompressionSpatial Gems, Volume 110.1145/3548732.3548735(7-12)Online publication date: 5-Aug-2022
    • (2019)An Energy Efficient Smartphone Sensors’ Data Fusion for High Rate Position Sampling Demands2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2019.8651755(1-6)Online publication date: Jan-2019
    • (2016)Trading Off Accuracy, Timeliness, and Uplink Usage in Online GPS TrackingIEEE Transactions on Mobile Computing10.1109/TMC.2015.245743215:8(2124-2136)Online publication date: 1-Aug-2016
    • (2016)Compression of Spatio-temporal Data2016 17th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2016.80(4-7)Online publication date: Jun-2016
    • (2016)Data-Driven Event Triggering for IoT ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2016.25644283:6(1146-1158)Online publication date: Dec-2016
    • (2014)Persistence based online signal and trajectory simplification for mobile devicesProceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2666310.2666388(371-380)Online publication date: 4-Nov-2014
    • (2014)An event-based bus monitoring system17th International IEEE Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2014.6958152(2882-2887)Online publication date: Oct-2014

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