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TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing

Published: 07 September 2015 Publication History

Abstract

Incentive is crucial to the success of mobile crowd sensing (MCS) applications. Offering monetary rewards is promising, and many incentive schemes are studied based on reverse auction. However, they all assume a static budget for a task, the dynamics of tasks in terms of sensing contexts as well as user knowledge to the target area is not considered. This may result in uncompleted or overpaid tasks. In addition, existing studies mainly motivate user participation, whereas the quality of data is paid little attention. To address these issues, we propose a novel MCS incentive mechanism called TaskMe. An LBSN-powered reference model for dynamic budgeting is proposed, and a combination of reputation and multi-payment-enhanced reverse auction scheme is used to improve data quality. Initial experiments prove the effectiveness of our system.

References

[1]
Lee, J.-S., and Hoh, B. Dynamic pricing incentive for participatory sensing. Pervasive and Mobile Computing 6, 6 (2010), 693--708.
[2]
Yang, D., Xue, G., Fang, X., and Tang, J. Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing. In Proc. of MobiCom 2012, ACM (2012), 173--184.
[3]
Feng, Z., Zhu, Y., Zhang, Q., Ni, L. M., and Vasilakos, A. V. TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing. In Proc. of INFOCOM 2014, IEEE (2014), 1231--1239.
[4]
Guo, B., Yu, Z., Zhang, D., and Zhou, X. Cross-community sensing and mining. IEEE Communications Magazine 52, 8 (2014), 144--152.
[5]
Amintoosi, H., and Kanhere, S. S. A reputation framework for social participatory sensing systems. Mobile Networks and Applications 19, 1 (2014), 88--100.

Cited By

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  • (2022)Fair and size-scalable participant selection framework for large-scale mobile crowdsensingJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2021.102273119:COnline publication date: 9-Apr-2022
  • (2018)A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing NetworksSensors10.3390/s1811389418:11(3894)Online publication date: 12-Nov-2018
  • (2018)Task Allocation in Spatial Crowdsourcing: Current State and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2018.28159825:3(1749-1764)Online publication date: Jun-2018
  • Show More Cited By

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  1. TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing

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    Published In

    cover image ACM Conferences
    UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    September 2015
    1626 pages
    ISBN:9781450335751
    DOI:10.1145/2800835
    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: 07 September 2015

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    Author Tags

    1. cross-space
    2. incentive
    3. mobile crowd sensing

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    UbiComp '15
    Sponsor:
    • Yahoo! Japan
    • SIGMOBILE
    • FX Palo Alto Laboratory, Inc.
    • ACM
    • Rakuten Institute of Technology
    • Microsoft
    • Bell Labs
    • SIGCHI
    • Panasonic
    • Telefónica
    • ISTC-PC

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2022)Fair and size-scalable participant selection framework for large-scale mobile crowdsensingJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2021.102273119:COnline publication date: 9-Apr-2022
    • (2018)A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing NetworksSensors10.3390/s1811389418:11(3894)Online publication date: 12-Nov-2018
    • (2018)Task Allocation in Spatial Crowdsourcing: Current State and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2018.28159825:3(1749-1764)Online publication date: Jun-2018
    • (2016)Adopting incentive mechanisms for large-scale participation in mobile crowdsensingHuman-centric Computing and Information Sciences10.1186/s13673-016-0080-36:1(1-31)Online publication date: 1-Dec-2016

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