Task Allocation in Spatial Crowdsourcing: Current State and Future Directions
Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits workers to move to some particular locations to perform spatio-temporal-relevant tasks (e.g., sensing and activity organization). Task allocation or worker selection is a significant problem that may impact the qualit...
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| Veröffentlicht in: | IEEE internet of things journal 2018-06, Vol.5 (3), p.1749-1764 |
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| container_title | IEEE internet of things journal |
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| creator | Bin Guo Yan Liu Leye Wang Li, Victor O. K. Lam, Jacqueline C. K. Zhiwen Yu |
| description | Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits workers to move to some particular locations to perform spatio-temporal-relevant tasks (e.g., sensing and activity organization). Task allocation or worker selection is a significant problem that may impact the quality of completion of SC tasks. Based on a conceptual model and generic framework of SC task allocation, this paper first gives a review of the current state of research in this field, including single task allocation, multiple task allocation, low-cost task allocation, and quality-enhanced task allocation. We further investigate the future trends and open issues of SC task allocation, including skill-based task allocation, group recommendation and collaboration, task composition and decomposition, and privacypreserving task allocation. Finally, we discuss the practical issues on real-world deployment as well as the challenges for large-scale user study in SC task allocation. |
| doi_str_mv | 10.1109/JIOT.2018.2815982 |
| format | Article |
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We further investigate the future trends and open issues of SC task allocation, including skill-based task allocation, group recommendation and collaboration, task composition and decomposition, and privacypreserving task allocation. 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| source | IEEE Electronic Library (IEL) |
| subjects | Crowdsourcing Data quality grouping and collaborating Manufacturing execution systems Mobile handsets optimization Performance evaluation Resource management Sensors Servers spatial crowdsourcing (SC) task allocation Task analysis Vertical integration |
| title | Task Allocation in Spatial Crowdsourcing: Current State and Future Directions |
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