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Results for Mobile crowdsensing

Publications & Outputs

  1. Fair and size-scalable participant selection framework for large-scale mobile crowdsensing

    Li, S., Shen, W., Bilal, M., Xu, X., Dou, W. & Moustafa, N., 31/10/2021, In: Journal of Systems Architecture. 119, 102273.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Effective truth discovery and fair reward distribution for mobile crowdsensing

    Shi, F., Qin, Z., Wu, D. & McCann, J. A., 12/2018, In: Pervasive and Mobile Computing. 51, p. 88-103 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. GP-selector: a generic participant selection framework for mobile crowdsourcing systems

    Wang, J., Wang, Y., Wang, L. & He, Y., 1/05/2018, In: World Wide Web . 21, 3, p. 759-782 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review