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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Online Access: | http://dx.doi.org/10.1155/2006/218736 |
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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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