The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
Abstract
Wireless ATM networks require efficient mobility management to cope with frequent mobile handoff and rerouting of connections. Although much attention has been given in the literature to network architecture design to support wide-area mobility in public ATM networks, little has been done to the important issue of user mobility estimation and prediction to improve the connection reliability and bandwidth efficiency of the underlying system architecture. This paper treats the problem by developing a hierarchical user mobility model that closely represents the movement behavior of a mobile user, and that, when used with appropriate pattern matching and Kalman filtering techniques, yields an accurate location prediction algorithm, HLP, or hierarchical location prediction, which provides necessary information for advance resource reservation and advance optimal route establishment in wireless ATM networks.
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Cites
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Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets
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The GSM System for Mobile Communications
Mouly, M., Pautet, M.-B., & Haug, T. (1992) · Cited by 1,213
Movement-based location update and selective paging for PCS networks
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Cited by
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
Self-citationRobotics-based location sensing using wireless ethernet
Ladd, A. M., Bekris, K. E., Rudys, A., Marceau, G., Kavraki, L. E., & Wallach, D. S. (2002) · Proceedings of the 8th annual international conference on Mobile computing and networking · doi:10.1145/570645.570674 · Cited by 465
Topological signatures for fast mobility analysis
Ghosh, A., Rozemberczki, B., Ramamoorthy, S., & Sarkar, R. (2018) · Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · doi:10.1145/3274895.3274952 · Cited by 12
Fréchet Kernel for Trajectory Data Analysis
Takeuchi, K., Imaizumi, M., Kanda, S., Tabei, Y., Fujii, K., Yoda, K., Ishihata, M., & Maekawa, T. (2021) · Proceedings of the 29th International Conference on Advances in Geographic Information Systems · doi:10.1145/3474717.3483949 · Cited by 4
Metadata
- Authors
- Liu, T., Bahl, P., & Chlamtac, I.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 1998
- Volume
- 16
- Issue
- 6
- Pages
- 922-936
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2154818210
- Cited by
- 558
- References
- 7
- FWCI
- 10.70
- Type
- journal article
- Language
- en
- Open access
- closed
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