A Novel Anchor Selection Scheme for Distributed Mobility Management

Davaasambuu, Battulga; Telmuun, Tumnee; Sasko, Dominik; Yu, Ke; Sodbileg, Shirmen

doi:10.7494/csci.2021.22.1.3708

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Battulga, Davaa, sambuu et al [21] developed a distributed mobility model for selecting a mobility anchor (MA). The paper implemented some factors to select the mobility anchor based on cost function.…”

Section: Related Work For Researchmentioning

confidence: 99%

Novel Group Mobility Model for Software Defined Future Mobile Networks

Sureshkumar¹,

Surendran²

2022

IJCAI

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Nowadays, a massive amount of data leads to cause network traffic and inflexible mobility in future mobile networks. A new Group Mobility Model (GMM) named MoMo is introduced that addresses the issue of the aforementioned problems. Even though, software defined network (SDN) is functional with network-rooted mobility protocols that enhance the network efficiency. Some existing network-rooted mobility administration methods still undergo handover delay, packet loss, and high signaling cost through handover processing. In this research work, SDN-based fast handover for GMM is proposed.Here, the neighbor number of evolving node transition probabilities of the mobile node (MN) and their obtainable resource probabilities are estimated. This makes a mathematical framework to decide the preeminent number of the evolving nodes and then allot these to mobile nodes virtually with all associations finished by the exploit of Open-Flow tables. The performance examination demonstrates that the proposed SDN rooted GMM technique has the enhanced performance than the conventional handover process and further technique by handover latency, signaling cost, network throughput, and packet loss.Povzetek: Predstavljen je nov sistem MoMo kot model mobilnosti grup v modernih omrežjih.

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Section: Related Work For Researchmentioning

confidence: 99%

Novel Group Mobility Model for Software Defined Future Mobile Networks

Sureshkumar¹,

Surendran²

2022

IJCAI

View full text Add to dashboard Cite

show abstract

“…OFS, a soft anchor is the best choice to reconfigure the packet delivery route for higher efficiency. Battulga, Davaa, sambuu et al [21] developed a distributed mobility model for selecting a mobility anchor (MA). The paper implemented some factors to select the mobility anchor based on cost function.…”

Section: Related Work For Researchmentioning

confidence: 99%

A Novel Group Mobility Model for Software Defined Future Mobile Networks

Sureshkumar¹,

Surendran²

2021

Preprint

View full text Add to dashboard Cite

Nowadays, a massive amount of data leads to cause network traffic and inflexible mobility in future mobile networks. A new Group Mobility Model (GMM) named MoMo is introduced that addresses the issue of the aforementioned problems. Even though, software defined network (SDN) is functional with network-rooted mobility protocols that enhance the network efficiency. Some existing network-rooted mobility administration methods still undergo handover delay, packet loss, and high signaling cost through handover processing. In this research work, SDN-based fast handover for GMM is proposed. Here, the neighbor number of evolving node transition probabilities of the mobile node (MN) and their obtainable resource probabilities are estimated. This makes a mathematical framework to decide the preeminent number of the evolving nodes and then allot these to mobile nodes virtually with all associations finished by the exploit of Open-Flow tables. The performance examination demonstrates that the proposed SDN rooted GMM technique has the enhanced performance than the conventional handover process and further technique by handover latency, signaling cost, network throughput, and packet loss.

show abstract