Reducing location update cost in location-aware environment

Moon Bae Song, Soon Young Jung, Chong Sun Hwang

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

Abstract

We propose a new mobility model for moving objects database and its location update strategy. The performance of a location update strategy highly depends on the assumed mobility pattern. In most existing works, however, the mobility issue has been disregarded and too simplified as linear function of time. Then, a new mobility model, namely state-based mobility model, has been developed to provide more generalized scheme for location update. In our model, the movement patterns of moving objects are classified into three modes: LINEAR, RANDOM, and PAUSE. And each of these modes has its own location update policy according to its mobility pattern. This idea can greatly reduce the number of update messages, as the temporal locality of movement patterns increases.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003
EditorsH.R. Arabnia, Y. Mun, H.R. Arabnia, Y. Mun
Pages914-920
Number of pages7
Publication statusPublished - 2003
EventProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications - Las Vegas, NV, United States
Duration: 2003 Jun 232003 Jun 26

Publication series

NameProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications
Volume2

Other

OtherProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications
Country/TerritoryUnited States
CityLas Vegas, NV
Period03/6/2303/6/26

Keywords

  • Location update protocol
  • Mobile computing
  • Moving objects database

ASJC Scopus subject areas

  • Engineering(all)

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