The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm
Abstract
With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and large-scale sensing. MCSC extends the vision of participatory sensing by leveraging both participatory sensory data from mobile devices (offline) and user-contributed data from mobile social networking services (online). Further, it explores the complementary roles and presents the fusion/collaboration of machine and human intelligence in the crowd sensing and computing processes. This article characterizes the unique features and novel application areas of MCSC and proposes a reference framework for building human-in-the-loop MCSC systems. We further clarify the complementary nature of human and machine intelligence and envision the potential of deep-fused human--machine systems. We conclude by discussing the limitations, open issues, and research opportunities of MCSC.
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A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
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Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning
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A survey of data fusion in smart city applications
Lau, B. P. L., Marakkalage, S. H., Zhou, Y., Hassan, N. U., Yuen, C., Zhang, M., & Tan, U.-X. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.05.004 · Cited by 320
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Wang, P., Yang, L. T., Li, J., Chen, J., & Hu, S. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.002 · Cited by 127
Metadata
- Authors
- Guo, B., Wang, Z., Yu, Z., Wang, Y., Yen, N. Y., Huang, R., & Zhou, X.
- Venue
- ACM Computing Surveys
- Published
- 2015-08-10
- Volume
- 48
- Issue
- 1
- Pages
- 1-31
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W1994500462
- Cited by
- 719
- References
- 102
- FWCI
- 144.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guo, B., Wang, Z., Yu, Z., Wang, Y., Yen, N. Y., Huang, R., & Zhou, X. (2015). Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm. ACM Computing Surveys. https://doi.org/10.1145/2794400
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