Performance evaluation of an enhanced distance-based registration scheme using the normal distribution approximation

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Having an efficient location management scheme for mobile stations (MSs) is very important for optimizing the performance of mobile cellular systems. In this study, a distance-based registration (DBR) scheme and an enhanced DBR scheme are examined. According to computer simulations on the DBR scheme, it is shown that most MSs tend to distribute around the center of the location area. This centralizing property of the MS in the DBR scheme enables us to approximate the distribution of the MS in the location area to a normal distribution. We analyze the performance of the DBR scheme according to the above approximation and our mobility model. We also propose distance-based registration with an implicit registration (DIR) scheme in order to improve the performance of the DBR scheme. We evaluate the performance of the proposed scheme using the normal distribution approximation to compare the performance of the DBR scheme. The numerical results show that the DIR scheme not only outperforms the DBR scheme.

Original languageEnglish
Title of host publicationInformation Networking
Subtitle of host publicationAdvances in Data Communications and Wireless Networks - International Conference, ICOIN 2006. Revised Selected Papers
PublisherSpringer Verlag
Pages620-629
Number of pages10
ISBN (Print)3540485635, 9783540485636
DOIs
StatePublished - 2006
EventInternational Conference on Information Networking, ICOIN 2006 - Sendai, Japan
Duration: 2006.01.162006.01.19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3961 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Information Networking, ICOIN 2006
Country/TerritoryJapan
CitySendai
Period06.01.1606.01.19

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems

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