Tracking mobile users utilizing their frequently visited locations

Chiang Lee, Chih Horng Ke, Chao Chun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In wireless computing environment, the explosive growth of demand in communication bandwidth requires new schemes to effectively and efficiently locate users. The Basic HLR/VLR locating scheme does not exploit the fact that many mobile users' moving patterns are likely to be known. In this paper, we propose one locating scheme, the Frequently Visited Locations First (FVLF) scheme, to efficiently locate a mobile user. This scheme avoids the high cost of querying the callee's HLR. The cost model of the proposed scheme is derived and the optimal number of prestored RAs is also found.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 10th International Conference, DEXA 1999, Proceedings
EditorsGiovanni Soda, A. Min Tjoa, Trevor J. M. Bench-Capon
PublisherSpringer Verlag
Pages156-165
Number of pages10
ISBN (Print)3540664483, 9783540664482
Publication statusPublished - 1999 Jan 1
Event10th International Conference on Database and Expert Systems Applications, DEXA 1999 - Florence, Italy
Duration: 1999 Aug 301999 Sep 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1677
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Database and Expert Systems Applications, DEXA 1999
CountryItaly
CityFlorence
Period99-08-3099-09-03

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, C., Ke, C. H., & Chen, C. C. (1999). Tracking mobile users utilizing their frequently visited locations. In G. Soda, A. M. Tjoa, & T. J. M. Bench-Capon (Eds.), Database and Expert Systems Applications - 10th International Conference, DEXA 1999, Proceedings (pp. 156-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1677). Springer Verlag.