Domain-based proxy for efficient location tracking of mobile agents

Sanghoon Song, Taekyoung Kwon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The provision of location tracking for mobile agents is designed to deliver a message to a moving object in a network. Most tracking methods exploit relay stations that hold location information to forward messages to a target mobile agent. In this paper, we propose an efficient location tracking method for mobile agents using the domain-based proxy as a relay station. The proxy in each domain is dynamically determined when a mobile agent enters a new domain. The proposed method exploits the domain-based moving patterns of mobile agents and minimizes registration and message transfer costs in mobile agent systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHai Jin, Hao Chen, Guang R. Gao, Zhiwei Xu
PublisherSpringer Verlag
Pages205-212
Number of pages8
ISBN (Print)3540233881, 9783540233886
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3222
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Domain-based proxy for efficient location tracking of mobile agents'. Together they form a unique fingerprint.

  • Cite this

    Song, S., & Kwon, T. (2004). Domain-based proxy for efficient location tracking of mobile agents. In H. Jin, H. Chen, G. R. Gao, & Z. Xu (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 205-212). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3222). Springer Verlag. https://doi.org/10.1007/978-3-540-30141-7_30