The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Rigidity, computation, and randomization in network localization
Abstract
We provide a theoretical foundation for the problem of network localization in which some nodes know their locations and other nodes determine their locations by measuring the distances to their neighbors. We construct grounded graphs to model network localization and apply graph rigidity theory to test the conditions for unique localizability and to construct uniquely localizable networks. We further study the computational complexity of network localization and investigate a subclass of grounded graphs where localization can be computed efficiently. We conclude with a discussion of localization in sensor networks where the sensors are placed randomly.
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Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
GPSR: greedy perimeter stateless routing for wireless networks
Karp, B., & Kung, H. T. (2000) · Proceedings of the 6th annual international conference on Mobile computing and networking · doi:10.1145/345910.345953 · Cited by 7,050
The active badge location system
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The Cricket location-support system
Priyantha, N. B., Chakraborty, A., & Balakrishnan, H. (2000) · Proceedings of the 6th annual international conference on Mobile computing and networking · doi:10.1145/345910.345917 · Cited by 3,716
GPS-less low-cost outdoor localization for very small devices
Bulusu, N., Heidemann, J., & Estrin, D. (2000) · IEEE Personal Communications · doi:10.1109/98.878533 · Cited by 3,592
Location systems for ubiquitous computing
Hightower, J., & Borriello, G. (2001) · Computer · doi:10.1109/2.940014 · Cited by 2,987
Next century challenges: scalable coordination in sensor networks
Estrin, D., Govindan, R., Heidemann, J., & Kumar, S. (1999) · Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking · doi:10.1145/313451.313556 · Cited by 2,703
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Savvides, A., Han, C.-C., & Strivastava, M. B. (2001) · Proceedings of the 7th annual international conference on Mobile computing and networking · doi:10.1145/381677.381693 · Cited by 2,694
Range-free localization schemes for large scale sensor networks
He, T., Huang, C., Blum, B. M., Stankovic, J. A., & Abdelzaher, T. (2003) · Proceedings of the 9th annual international conference on Mobile computing and networking · doi:10.1145/938985.938995 · Cited by 2,643
Some computer science issues in ubiquitous computing
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Cited by
Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements
Biswas, P., Liang, T.-C., Toh, K.-C., Ye, Y., & Wang, T.-C. (2006) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2006.877401 · Cited by 451
Parker, L. E., Rus, D., & Sukhatme, G. S. (2016) · Springer Handbooks · doi:10.1007/978-3-319-32552-1_53 · Cited by 290
Carlone, L., & Censi, A. (2014) · IEEE Transactions on Robotics · doi:10.1109/tro.2013.2291626 · Cited by 79
Metadata
- Authors
- Eren, T., Goldenberg, O. K., Whiteley, W., Yang, Y. R., Morse, A. S., Anderson, B. D. O., & Belhumeur, P. N.
- Venue
- IEEE INFOCOM 2004
- Publisher
- IEEE
- Published
- 2005-02-22
- Volume
- 4
- Pages
- 2673-2684
- OpenAlex
- W2164824354
- Cited by
- 517
- References
- 33
- FWCI
- 61.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Eren, T., Goldenberg, O. K., Whiteley, W., Yang, Y. R., Morse, A. S., Anderson, B. D. O., & Belhumeur, P. N. (2005). Rigidity, computation, and randomization in network localization. IEEE INFOCOM 2004. https://doi.org/10.1109/infcom.2004.1354686
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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.