The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Toward Community Sensing
Abstract
A great opportunity exists to fuse information from populations of privately-held sensors to create useful sensing applications. For example, GPS devices, embedded in cellphones and automobiles, might one day be employed as distributed networks of velocity sensors for traffic monitoring and routing. Unfortunately, privacy and resource considerations limit access to such data streams. We describe principles of community sensing that offer mechanisms for sharing data from privately held sensors. The methods take into account the likely availability of sensors, the context-sensitive value of sensor information, based on models of phenomena and demand, and sensor owners' preferences about privacy and resource usage. We present efficient and well-characterized approximations of optimal sensing policies. We provide details on key principles of community sensing and highlight their use within a case study for road traffic monitoring.
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k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
An analysis of approximations for maximizing submodular set functions—II
Fisher, M. L., Nemhauser, G. L., & Wolsey, L. A. (1978) · Mathematical Programming Studies · doi:10.1007/bfb0121195 · Cited by 589
Cited by
A survey of mobile phone sensing
Lane, N., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5560598 · Cited by 2,292
Herrera, J. C., Work, D. B., Herring, R., Ban, X. (., Jacobson, Q., & Bayen, A. M. (2010) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2009.10.006 · Cited by 915
A literature survey on smart cities
Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., & David, B. (2015) · Science China Information Sciences · doi:10.1007/s11432-015-5397-4 · Cited by 734
Sell your experiences: a market mechanism based incentive for participatory sensing
Lee, J.-S., & Hoh, B. (2010) · 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) · doi:10.1109/percom.2010.5466993 · Cited by 396
Navigating the protein fitness landscape with Gaussian processes
Romero, P. A., Krause, A., & Arnold, F. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215251110 · Cited by 360
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Metadata
- Authors
- Krause, A., Horvitz, E., Kansal, A., & Zhao, F.
- Venue
- 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008)
- Publisher
- IEEE
- Published
- 2008-04
- Pages
- 481-492
- OpenAlex
- W2143319963
- Cited by
- 215
- References
- 2
- FWCI
- 17.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Krause, A., Horvitz, E., Kansal, A., & Zhao, F. (2008). Toward Community Sensing. 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008). https://doi.org/10.1109/ipsn.2008.37
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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.
