Context-aware recruitment scheme for opportunistic mobile crowdsensing

Alireza Hassani, Pari Delir Haghighi, Prem Prakash Jayaraman

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    19 Citations (Scopus)

    Abstract

    The ubiquity of mobile devices coupled with the
    advances in Internet of Things (IoT) technologies has led to the
    development of large-scale applications that can collect
    information about people and their environments in real-time.
    Such applications are referred to as Mobile Crowdsensing (MCS).
    In MCS, tasks are allocated to participants (mobile devices) by a
    remote server according to the application requirements. The key
    challenge is reducing the energy consumption of the participating mobile devices. One of the effective approaches to reduce energy consumption of MCS applications is to improve efficiency of task allocation. An efficient task allocation approach can optimize
    several aspects of MCS applications such as task coverage (minimum number of participants required for a MCS task), data quality, and sensing costs. In this paper, we propose a novel Context-Aware Task Allocation (CATA) approach that aims to allocate sensing tasks to the best participant set while improving energy efficiency in MCS applications. Another important feature of the proposed CATA approach is that it preserves the privacy of participants’ by only disclosing the less sensitive data to the server. The proposed approach employs local and global task allocation methods to enable two levels of data sharing and privacy. We describe the series of experiments that were conducted to validate our proposed approach in terms of coverage and efficiency.
    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015)
    Subtitle of host publication14-17 December 2015, Melbourne, Victoria, Australia
    EditorsTao Gu, Vikto K. Prasanna
    Place of PublicationPiscataway, NJ
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages266-273
    Number of pages8
    ISBN (Print)9780769557854
    DOIs
    Publication statusPublished - 2015
    EventInternational Conference on Parallel and Distributed Systems 2015 - Melbourne, Australia
    Duration: 14 Dec 201517 Dec 2015
    Conference number: 21st
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7381113 (IEEE Conference Proceedings)

    Conference

    ConferenceInternational Conference on Parallel and Distributed Systems 2015
    Abbreviated titleICPADS 2015
    CountryAustralia
    CityMelbourne
    Period14/12/1517/12/15
    Internet address

    Cite this

    Hassani, A., Delir Haghighi, P., & Jayaraman, P. P. (2015). Context-aware recruitment scheme for opportunistic mobile crowdsensing. In T. Gu, & V. K. Prasanna (Eds.), Proceedings of the 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia (pp. 266-273). [7384304] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPADS.2015.41