The DOI matches its Crossref record.
The Rise of People-Centric Sensing
Abstract
Technological advances in sensing, computation, storage, and communications will turn the near-ubiquitous mobile phone into a global mobile sensing device. People-centric sensing will help drive this trend by enabling a different way to sense, learn, visualize, and share information about ourselves, friends, communities, the way we live, and the world we live in. It juxtaposes the traditional view of mesh sensor networks with one in which people, carrying mobile devices, enable opportunistic sensing coverage. In the MetroSense Project's vision of people-centric sensing, users are the key architectural system component, enabling a host of new application areas such as personal, public, and social sensing.
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Citations
Cited by
Canzian, L., & Musolesi, M. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing · doi:10.1145/2750858.2805845 · Cited by 477
Self-citationOpportunities in mobile crowd sensing
Ma, H., Zhao, D., & Yuan, P. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6871666 · Cited by 466
Human-Data Interaction: The Human Face of the Data-Driven Society
Mortier, R., Haddadi, H., Henderson, T., McAuley, D., & Crowcroft, J. (2014) · doi:10.2139/ssrn.2508051 · Cited by 247
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
Detecting activities from body-worn accelerometers via instance-based algorithms
Bicocchi, N., Mamei, M., & Zambonelli, F. (2010) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2010.03.004 · Cited by 55
Metadata
- Authors
- Campbell, A. T., Eisenman, S. B., Lane, N. D., Miluzzo, E., Peterson, R. A., Lu, H., Zheng, X., Musolesi, M., Fodor, K., & Ahn, G.-S.
- Venue
- IEEE Internet Computing
- Published
- 2008-07
- Volume
- 12
- Issue
- 4
- Pages
- 12-21
- ISSN
- 1089-7801 (ISSN-L)
- OpenAlex
- W2117788706
- Cited by
- 573
- References
- 0
- FWCI
- 115.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Campbell, A. T., Eisenman, S. B., Lane, N. D., Miluzzo, E., Peterson, R. A., Lu, H., Zheng, X., Musolesi, M., Fodor, K., & Ahn, G.-S. (2008). The Rise of People-Centric Sensing. IEEE Internet Computing. https://doi.org/10.1109/mic.2008.90
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
