Location management with dynamic anchor scheme in wireless ATM networks

Dong Ho Kim, Kang Woo Lee, Wonjong Noh, Sinam Woo, Sunshin An

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents a dynamic anchor scheme in wireless ATM (asynchronous transfer mode) networks, which improves the location registers (LR) scheme, in which LR's are hierarchically structured. This dynamic anchor scheme introduces the CCR (communication-to-computation cost ratio) term in the LR scheme. The proposed scheme reduces computation cost by introducing the active LR. There are at most two active LR's in a hierarchical arrangement of LR's and the location of one active LR is static and the location of another active LR called as anchor LR is dynamically selected among the LRs in the hierarchy in order to minimize a total location management cost. The total location management cost is calculated depending on the CCR as well as the CMR (call-to-move ratio). Numerical results show that the proposed scheme can reduce the location management cost compared with the original LR scheme for the different values of the CCR and the CMR.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHyun-Kook Kahng, Shigeki Goto
PublisherSpringer Verlag
Pages648-657
Number of pages10
ISBN (Print)3540230343
DOIs
Publication statusPublished - 2004 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3090
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Anchor scheme
  • Location Management
  • Wireless ATM

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, D. H., Lee, K. W., Noh, W., Woo, S., & An, S. (2004). Location management with dynamic anchor scheme in wireless ATM networks. In H-K. Kahng, & S. Goto (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 648-657). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3090). Springer Verlag. https://doi.org/10.1007/978-3-540-25978-7_65