The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Opportunities in mobile crowd sensing
Abstract
Mobile crowd sensing is a new paradigm that takes advantage of pervasive mobile devices to efficiently collect data, enabling numerous largescale applications. Human involvement is one of the most important features, and human mobility offers unprecedented opportunities for both sensing coverage and data transmission. In this article, we investigate the opportunistic characteristics of human mobility from the perspectives of both sensing and transmission, and discuss how to exploit these opportunities to collect data efficiently and effectively. We also outline various open issues brought by human involvement in this emerging research area.
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Citations
Cites
Mobile crowdsensing: current state and future challenges
Ganti, R., Ye, F., & Lei, H. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.6069707 · Cited by 2,054
The Rise of People-Centric Sensing
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) · IEEE Internet Computing · doi:10.1109/mic.2008.90 · Cited by 573
From participatory sensing to Mobile Crowd Sensing
Guo, B., Yu, Z., Zhou, X., & Zhang, D. (2014) · 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS) · doi:10.1109/percomw.2014.6815273 · Cited by 401
Zhao, D., Li, X.-Y., & Ma, H. (2014) · IEEE INFOCOM 2014 - IEEE Conference on Computer Communications · doi:10.1109/infocom.2014.6848053 · Cited by 390
Self-citationOpportunistic IoT: Exploring the harmonious interaction between human and the internet of things
Guo, B., Zhang, D., Wang, Z., Yu, Z., & Zhou, X. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2012.12.028 · Cited by 336
Internet of Things: Objectives and Scientific Challenges
Ma, H.-D. (2011) · Journal of Computer Science and Technology · doi:10.1007/s11390-011-1189-5 · Cited by 283
Self-citationUrban sensing systems: opportunistic or participatory?
Lane, N. D., Eisenman, S. B., Musolesi, M., Miluzzo, E., & Campbell, A. T. (2008) · Proceedings of the 9th workshop on Mobile computing systems and applications · doi:10.1145/1411759.1411763 · Cited by 265
From opportunistic networks to opportunistic computing
Conti, M., Giordano, S., May, M., & Passarella, A. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5560597 · Cited by 259
CitySee: Urban CO2 monitoring with sensors
Mao, X., Miao, X., He, Y., Li, X.-Y., & Liu, Y. (2012) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2012.6195530 · Cited by 187
COUPON: A Cooperative Framework for Building Sensing Maps in Mobile Opportunistic Networks
Zhao, D. Y., Ma, H., Tang, S., & Li, X.-Y. (2014) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2014.2308178 · Cited by 98
Self-citation
Cited by
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2914030 · Cited by 594
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
SDN and Virtualization Solutions for the Internet of Things: A Survey
Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282
A Review on Internet of Things for Defense and Public Safety
Fraga-Lamas, P., Fernández-Caramés, T., Suárez-Albela, M., Castedo, L., & González-López, M. (2016) · Sensors · doi:10.3390/s16101644 · Cited by 242
Pryss, R., Schlee, W., Reichert, M., Kurthen, I., Giroud, N., Jagoda, L., Neuschwander, P., Meyer, M., Neff, P., Schobel, J., et al. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857854 · Cited by 17
Metadata
- Authors
- Ma, H., Zhao, D., & Yuan, P.
- Venue
- IEEE Communications Magazine
- Published
- 2014-08
- Volume
- 52
- Issue
- 8
- Pages
- 29-35
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2083888899
- Cited by
- 466
- References
- 12
- FWCI
- 82.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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