Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm

This paper discusses the improvements and parameter optimization issues of LTRACK, a recently proposed mobility management algorithm. Mathematical modelling of the algorithm and the behavior of the Mobile Node (MN) are used to optimize the parameters of LTRACK. A numerical method is given to determi...

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Main Authors: Benedek Kovács, M. Szalay, S. Imre
Format: Article
Language:English
Published: Hindawi Limited 2006-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2006/218736
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spelling doaj-22537b4a55e44f5eac27e10746bc60c52021-07-02T07:50:10ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2006-01-0121215010.1155/2006/218736Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management AlgorithmBenedek Kovács0M. Szalay1S. Imre2Department of Telecommunications, Budapest University of Technology and Economics, Pf. 91, H-1521 Budapest, HungaryDepartment of Telecommunications, Budapest University of Technology and Economics, Pf. 91, H-1521 Budapest, HungaryDepartment of Telecommunications, Budapest University of Technology and Economics, Pf. 91, H-1521 Budapest, HungaryThis paper discusses the improvements and parameter optimization issues of LTRACK, a recently proposed mobility management algorithm. Mathematical modelling of the algorithm and the behavior of the Mobile Node (MN) are used to optimize the parameters of LTRACK. A numerical method is given to determine the optimal values of the parameters. Markov chains are used to model both the base algorithm and the so-called loop removal effect. An extended qualitative and quantitative analysis is carried out to compare LTRACK to existing handover mechanisms such as MIP, Hierarchical Mobile IP (HMIP), Dynamic Hierarchical Mobility Management Strategy (DHMIP), Telecommunication Enhanced Mobile IP (TeleMIP), Cellular IP (CIP) and HAWAII. LTRACK is sensitive to network topology and MN behavior so MN movement modelling is also introduced and discussed with different topologies. The techniques presented here can not only be used to model the LTRACK algorithm, but other algorithms too. There are many discussions and calculations to support our mathematical model to prove that it is adequate in many cases. The model is valid on various network levels, scalable vertically in the ISO-OSI layers and also scales well with the number of network elements.http://dx.doi.org/10.1155/2006/218736
collection DOAJ
language English
format Article
sources DOAJ
author Benedek Kovács
M. Szalay
S. Imre
spellingShingle Benedek Kovács
M. Szalay
S. Imre
Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
Mobile Information Systems
author_facet Benedek Kovács
M. Szalay
S. Imre
author_sort Benedek Kovács
title Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
title_short Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
title_full Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
title_fullStr Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
title_full_unstemmed Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm
title_sort modelling and quantitative analysis of ltrack–a novel mobility management algorithm
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2006-01-01
description This paper discusses the improvements and parameter optimization issues of LTRACK, a recently proposed mobility management algorithm. Mathematical modelling of the algorithm and the behavior of the Mobile Node (MN) are used to optimize the parameters of LTRACK. A numerical method is given to determine the optimal values of the parameters. Markov chains are used to model both the base algorithm and the so-called loop removal effect. An extended qualitative and quantitative analysis is carried out to compare LTRACK to existing handover mechanisms such as MIP, Hierarchical Mobile IP (HMIP), Dynamic Hierarchical Mobility Management Strategy (DHMIP), Telecommunication Enhanced Mobile IP (TeleMIP), Cellular IP (CIP) and HAWAII. LTRACK is sensitive to network topology and MN behavior so MN movement modelling is also introduced and discussed with different topologies. The techniques presented here can not only be used to model the LTRACK algorithm, but other algorithms too. There are many discussions and calculations to support our mathematical model to prove that it is adequate in many cases. The model is valid on various network levels, scalable vertically in the ISO-OSI layers and also scales well with the number of network elements.
url http://dx.doi.org/10.1155/2006/218736
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AT mszalay modellingandquantitativeanalysisofltrackanovelmobilitymanagementalgorithm
AT simre modellingandquantitativeanalysisofltrackanovelmobilitymanagementalgorithm
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