Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) Efficient location prediction in mobile cellular networks. International Journal of Wireless Information Networks, 19(2), pp. 97-111. (doi: 10.1007/s10776-011-0166-9)
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Abstract
Mobile context-aware applications are capable of predicting the context of the user in order to operate pro-actively and provide advanced services. We propose an efficient spatial context classifier and a short-term predictor for the future location of a mobile user in cellular networks. We introduce different variants of the considered location predictor dealing with location (cell) identifiers and directions. Symbolic location classification is treated as a supervised learning problem. We evaluate the prediction efficiency and accuracy of the proposed predictors through synthetic and real-world traces and compare our solution with existing algorithms for location prediction. Our findings are very promising for the location prediction problem and the adoption of proactive context-aware applications and services.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Anagnostopoulos, Dr Christos |
| Authors: | Anagnostopoulos, T., Anagnostopoulos, C., and Hadjiefthymiades, S. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | International Journal of Wireless Information Networks |
| ISSN: | 1068-9605 |
| ISSN (Online): | 1572-8129 |
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