Thesis Bandwidth Management

Thesis Bandwidth Management-16
Mainly we have used GNS3 for implementation and simulation.Due to technological advancements there is an arousal of the world where human being and intelligent robots live together.

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For face portion segmentation (face detection) and localization, morphological image processing operations are used.

Permanent facial features like eyebrows, eyes, mouth and nose are extracted using SUSAN edge detection operator, facial geometry, edge projection analysis.

A guaranteed bandwidth must be provided to Vo IP users as they don’t care about core network which logically should be transparent to end users.

Another feature of MPLS called Quality of Services (Qo S) addressed these issues effectively by ensuring real time conversation and guaranteed bandwidth.

In this paper we have enlighten MPLS introduction, MPLS VPN, Traffic Engineering and MPLS Qo S in MPLS IP backbone.

We have provided connectivity to different customers in MPLS backbone by implementing MPLS VPN and Provide Quality of Service to these customers locally in this backbone area.

In wireless sensor network sensor node can easily be attacked by the hacker so it could be handled by efficient bandwidth management scheme.

Different routing algorithms have been proposed by the researchers to efficiently use the bandwidth.

Also apply Traffic Engineering in MPLS backbone to optimize the backbone resources.

On top of MPLS TE and MPLS Qo S, we have also discussed MPLS Qo S which guarantees less or no jitter and fixed bandwidth.


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