Probability of Task Completion and Energy Consumption in Cooperative Pervasive Mobile Computing

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    Abstract

    It is challenging for multiple smartphones to complete a given task in large-scale pervasive sensing systems cooperatively. Sensing paradigms such as opportunistic sensing, participatory sensing, and hybrid sensing have been used for smartphones to work together seamlessly under different contexts. However, these existing paradigms do not incorporate the energy problem and sharing sensory resources of applications. In this paper, we revisit sensing paradigms regarding the probability of task completion and energy consumption for smartphones to cooperatively complete a sensing task. In addition, we propose a symbiotic sensing paradigm that can significantly save smartphone batteries while maintaining equivalent performance to existing paradigms, provided that the smartphones allow applications to share sensing resources. We also quantitatively evaluate our probabilistic models with a realistic case study. This work is a useful aid to designing and evaluating large-scale smartphone-based sensing systems before deployment, which saves money and effort.

    Original languageEnglish
    Title of host publication2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
    PublisherIEEE
    Pages34-39
    Number of pages6
    ISBN (Electronic)9781538632277
    DOIs
    Publication statusPublished - 19 Mar 2018
    Event2018 IEEE International Conference on Pervasive Computing and Communications 2018 - Athens, Greece
    Duration: 19 Mar 201823 Mar 2018

    Conference

    Conference2018 IEEE International Conference on Pervasive Computing and Communications 2018
    Abbreviated titlePerCOM 2018
    CountryGreece
    CityAthens
    Period19/03/1823/03/18

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  • Cite this

    Le, D. V., Nguyen, T., Scholten, H., & Havinga, P. J. M. (2018). Probability of Task Completion and Energy Consumption in Cooperative Pervasive Mobile Computing. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 34-39). [8480135] IEEE. https://doi.org/10.1109/PERCOMW.2018.8480135