Reducing location update cost in location-aware environment

MoonBae B. Song, Soon Young Jung, Chong S. 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
EditorsH.R. Arabnia, Y. Mun, H.R. Arabnia, Y. Mun
Pages914-920
Number of pages7
Volume2
Publication statusPublished - 2003 Dec 1
EventProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications - Las Vegas, NV, United States
Duration: 2003 Jun 232003 Jun 26

Other

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

Fingerprint

Costs
Object-oriented databases

Keywords

  • Location update protocol
  • Mobile computing
  • Moving objects database

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Song, M. B., Jung, S. Y., & Hwang, C. S. (2003). Reducing location update cost in location-aware environment. In H. R. Arabnia, Y. Mun, H. R. Arabnia, & Y. Mun (Eds.), Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (Vol. 2, pp. 914-920)

Reducing location update cost in location-aware environment. / Song, MoonBae B.; Jung, Soon Young; Hwang, Chong S.

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications. ed. / H.R. Arabnia; Y. Mun; H.R. Arabnia; Y. Mun. Vol. 2 2003. p. 914-920.

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

Song, MB, Jung, SY & Hwang, CS 2003, Reducing location update cost in location-aware environment. in HR Arabnia, Y Mun, HR Arabnia & Y Mun (eds), Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications. vol. 2, pp. 914-920, Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas, NV, United States, 03/6/23.
Song MB, Jung SY, Hwang CS. Reducing location update cost in location-aware environment. In Arabnia HR, Mun Y, Arabnia HR, Mun Y, editors, Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications. Vol. 2. 2003. p. 914-920
Song, MoonBae B. ; Jung, Soon Young ; Hwang, Chong S. / Reducing location update cost in location-aware environment. Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications. editor / H.R. Arabnia ; Y. Mun ; H.R. Arabnia ; Y. Mun. Vol. 2 2003. pp. 914-920
@inproceedings{45e0275f3ff247e483ff57bb75392363,
title = "Reducing location update cost in location-aware environment",
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.",
keywords = "Location update protocol, Mobile computing, Moving objects database",
author = "Song, {MoonBae B.} and Jung, {Soon Young} and Hwang, {Chong S.}",
year = "2003",
month = "12",
day = "1",
language = "English",
isbn = "1892512416",
volume = "2",
pages = "914--920",
editor = "H.R. Arabnia and Y. Mun and H.R. Arabnia and Y. Mun",
booktitle = "Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications",

}

TY - GEN

T1 - Reducing location update cost in location-aware environment

AU - Song, MoonBae B.

AU - Jung, Soon Young

AU - Hwang, Chong S.

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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.

AB - 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.

KW - Location update protocol

KW - Mobile computing

KW - Moving objects database

UR - http://www.scopus.com/inward/record.url?scp=1642322936&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1642322936&partnerID=8YFLogxK

M3 - Conference contribution

SN - 1892512416

VL - 2

SP - 914

EP - 920

BT - Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications

A2 - Arabnia, H.R.

A2 - Mun, Y.

A2 - Arabnia, H.R.

A2 - Mun, Y.

ER -