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From participatory sensing to Mobile Crowd Sensing
Open accessAbstract
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.
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I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
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Opportunities in mobile crowd sensing
Ma, H., Zhao, D., & Yuan, P. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6871666 · Cited by 466
A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring
Montori, F., Bedogni, L., & Bononi, L. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2720855 · Cited by 282
Artificial intelligence-based semantic internet of things in a user-centric smart city
Guo, K., Lu, Y., Gao, H., & Cao, R. (2018) · Sensors · doi:10.3390/s18051341 · Cited by 104
Higher Education Check-Ins: Exploring the User Experience of Hybrid Location Sensing
Huang, Y., Sang, Y., Wu, Q., & Yao, Y. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359168 · Cited by 12
Metadata
- Authors
- Guo, B., Yu, Z., Zhou, X., & Zhang, D.
- Venue
- 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)
- Publisher
- IEEE
- Published
- 2014-03
- Pages
- 593-598
- OpenAlex
- W2055665526
- Cited by
- 401
- References
- 1
- FWCI
- 31.41
- Type
- conference paper
- Language
- en
- Open access
- green
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- Guo, B., Yu, Z., Zhou, X., & Zhang, D. (2014). From participatory sensing to Mobile Crowd Sensing. 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS). https://doi.org/10.1109/percomw.2014.6815273
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