Dynamic Mobility Anchor Selection Mechanism with QoS Constraints

Dev Pragad; A. Jaron; P. Pangalos; A. H. Aghvami

doi:10.1109/LCOMM.2011.082611.111469

Dynamic Mobility Anchor Selection Mechanism with QoS Constraints

Dev Pragad^*, A. Jaron, P. Pangalos, A. H. Aghvami

^*Corresponding author for this work

Centre for Telecommunications Research

King's College London

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The agent micro-mobility protocols such as Hierarchical Mobile IP and Network-based Localized Mobility Management (NetLMM) have become leading contenders for providing micro-mobility support to Mobile Nodes (MNs). For the efficient deployment of such protocols optimal and robust mobility agent selection mechanisms are required. In this Letter we propose a framework for optimal mobility agent selection by distributing the incoming load optimally whilst maintaining the QoS requirements for the Mobile Nodes. A binary linear integer program is formulated that takes into consideration the above mentioned criteria. The results show large improvement in terms of load distribution amongst the mobility agents.

Original language	English
Pages (from-to)	1094-1096
Number of pages	3
Journal	IEEE COMMUNICATIONS LETTERS
Volume	15
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2011.082611.111469
Publication status	Published - Oct 2011

Keywords

Micro-mobility
mobility agents
mobility management
load balancing
QoS

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10.1109/LCOMM.2011.082611.111469

Cite this

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title = "Dynamic Mobility Anchor Selection Mechanism with QoS Constraints",

abstract = "The agent micro-mobility protocols such as Hierarchical Mobile IP and Network-based Localized Mobility Management (NetLMM) have become leading contenders for providing micro-mobility support to Mobile Nodes (MNs). For the efficient deployment of such protocols optimal and robust mobility agent selection mechanisms are required. In this Letter we propose a framework for optimal mobility agent selection by distributing the incoming load optimally whilst maintaining the QoS requirements for the Mobile Nodes. A binary linear integer program is formulated that takes into consideration the above mentioned criteria. The results show large improvement in terms of load distribution amongst the mobility agents.",

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AU - Pragad, Dev

AU - Jaron, A.

AU - Pangalos, P.

AU - Aghvami, A. H.

PY - 2011/10

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N2 - The agent micro-mobility protocols such as Hierarchical Mobile IP and Network-based Localized Mobility Management (NetLMM) have become leading contenders for providing micro-mobility support to Mobile Nodes (MNs). For the efficient deployment of such protocols optimal and robust mobility agent selection mechanisms are required. In this Letter we propose a framework for optimal mobility agent selection by distributing the incoming load optimally whilst maintaining the QoS requirements for the Mobile Nodes. A binary linear integer program is formulated that takes into consideration the above mentioned criteria. The results show large improvement in terms of load distribution amongst the mobility agents.

AB - The agent micro-mobility protocols such as Hierarchical Mobile IP and Network-based Localized Mobility Management (NetLMM) have become leading contenders for providing micro-mobility support to Mobile Nodes (MNs). For the efficient deployment of such protocols optimal and robust mobility agent selection mechanisms are required. In this Letter we propose a framework for optimal mobility agent selection by distributing the incoming load optimally whilst maintaining the QoS requirements for the Mobile Nodes. A binary linear integer program is formulated that takes into consideration the above mentioned criteria. The results show large improvement in terms of load distribution amongst the mobility agents.

KW - Micro-mobility

KW - mobility agents

KW - mobility management

KW - load balancing

KW - QoS

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DO - 10.1109/LCOMM.2011.082611.111469

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JO - IEEE COMMUNICATIONS LETTERS

JF - IEEE COMMUNICATIONS LETTERS

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ER -

Dynamic Mobility Anchor Selection Mechanism with QoS Constraints

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Keywords

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