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BreadCrumbs: forecasting mobile connectivity
Abstract
Mobile devices cannot rely on a single managed network, but must exploit a wide variety of connectivity options as they travel. We argue that such systems must consider the derivative of connectivity--the changes inherent in movement between separately managed networks, with widely varying capabilities. With predictive knowledge of such changes, devices can more intelligently schedule network usage.
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Cited by
Augmenting mobile 3G using WiFi
Balasubramanian, A., Mahajan, R., & Venkataramani, A. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814456 · Cited by 587
A Random Walk around the City: New Venue Recommendation in Location-Based Social Networks
Noulas, A., Scellato, S., Lathia, N., & Mascolo, C. (2012) · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing · doi:10.1109/socialcom-passat.2012.70 · Cited by 184
Computing at the mobile edge: designing elastic android applications for computation offloading
Orsini, G., Bade, D., & Lamersdorf, W. (2015) · 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC) · doi:10.1109/wmnc.2015.10 · Cited by 112
Metadata
- Authors
- Nicholson, A. J., & Noble, B. D.
- Venue
- Proceedings of the 14th ACM international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2008-09-14
- Pages
- 46-57
- OpenAlex
- W1979745145
- Cited by
- 346
- References
- 0
- FWCI
- 36.11
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: BreadCrumbs: forecasting mobile connectivity. https://app.cochat.ai/papers/10.1145/1409944.1409952
- The paper
- Nicholson, A. J., & Noble, B. D. (2008). BreadCrumbs: forecasting mobile connectivity. Proceedings of the 14th ACM international conference on Mobile computing and networking. https://doi.org/10.1145/1409944.1409952
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.