qod phase-1 final ppt

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QOS Enhancement in Hybrid Network Using Distributed Protocol Guided By Mr. K. MURALISANKAR, M. E., Assistant Professor, Dept of Computer Science and Engg., SVS College of Engineering. Presented By S.AAKASHAM 722012405001 II M. E. ,CSE SVS College of Engineering.

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Page 1: QOD PHASE-1 FINAL PPT

QOS Enhancement in Hybrid

Network Using Distributed Protocol

Guided By

Mr. K. MURALISANKAR, M. E.,

Assistant Professor,

Dept of Computer Science and Engg.,

SVS College of Engineering. Presented By

S.AAKASHAM

722012405001

II M. E. ,CSE

SVS College of Engineering.

Page 2: QOD PHASE-1 FINAL PPT

INTRODUCTION

Hybrid networks is integrate MANETs and infrastructure

wireless networks

It have proven to be a better network structure for the next

generation networks

It can act Base station and Ad hoc according to the

environment conditions

The widespread use of mobile devices the increasing demand

for mobile multimedia streaming services

The future of real time need of high Quality of Service (QoS)

support in wireless and mobile networking environments

Page 3: QOD PHASE-1 FINAL PPT

INTRODUCTION Cont…

The QoS support reduces end to end transmission delay and

enhances throughput to guarantee the seamless communication

between mobile devices and wireless infrastructures

Specifically, infrastructure networks improve the scalability of

MANETs, while MANETs automatically establish self-

organizing networks, extending the coverage of the

infrastructure networks

Page 4: QOD PHASE-1 FINAL PPT
Page 5: QOD PHASE-1 FINAL PPT

ABSTRACT

The system reduces the transmission delay of the each

node in hybrid network

It also reduces the transmission time and redundant

data

Then increase the transmission throughput and

network bandwidth

To introduce a QOD algorithm to achieve high QoS

performance in hybrid network

Page 6: QOD PHASE-1 FINAL PPT

DRAWBACK OF EXISTING SYSTEM

Infrastructure wireless networks: The node negotiation,

admission control, resource reservation, and Priority

scheduling of packets

MANETs: The user mobility, channel variance errors, and

limited bandwidth

MANETs: Reservation-based QoS routing protocols suffer

from invalid reservation and race condition problems

Page 7: QOD PHASE-1 FINAL PPT

PROPOSED SYSTEM

Utilizes the reservation-based QoS routing protocols in hybrid

networks

These mainly focuses the invalid reservation and race

condition problems

Introduce to QoS-Oriented Distributed routing protocol

(QOD) is aiming to reduce transmission time and increase

network capacity

QOD , if a source node is not within the transmission range of

the AP

A source node selects nearby neighbors that can provide QoS

services to forward its packets to base stations

Page 8: QOD PHASE-1 FINAL PPT

PROPOSED SYSTEM Cont…

The source node schedules the packet streams to neighbors

based on their queuing condition, channel condition, and

mobility

The neighbors then forward packets to base stations, which

further forward packets to the destination

QOD is the first work for QoS routing in hybrid networks

QOD is makes five contributions

Page 9: QOD PHASE-1 FINAL PPT

QoS-Oriented Distributed routing

protocol(QOD)

1. QoS-guaranteed neighbor selection algorithm

The algorithm selects qualified neighbors to guarantee

QoS routing

Get an allocation set A :

Uas(i)* Wi : available workload rate source node needs to

distribute its packets to the Nq

Ai : workload rate allocation from source node to immediate node

Wg : the packet generating rate of the source node

Page 10: QOD PHASE-1 FINAL PPT

QoS-Oriented Distributed routing

protocol(QOD)

2. Distributed packet scheduling algorithm

It assigns earlier generated packets to forwarders with

higher queuing delays, while assigns more recently

generated packets to forwarders with lower queuing delays

to reduce total transmission delay

E.g.: 3 packets distributed

Page 11: QOD PHASE-1 FINAL PPT

QoS-Oriented Distributed routing

protocol(QOD)

3. Mobility-based segment resizing algorithm

The source node that adaptively adjusts segment size

according to node mobility in order to reduce transmission

time

The size of a packet Sp sent from a node to its neighbor

nodes i as following :

γ : Scaling parameter an

υi : The mobility speed of the source node and intermediate node

=1 kb

Page 12: QOD PHASE-1 FINAL PPT

QoS-Oriented Distributed routing

protocol(QOD)

4. Soft-deadline based forwarding scheduling algorithm

An intermediate node first forwards the packet with the

least wait time node. It’s increase the transmission

throughput

The slack time of a packet p is defined as :

Dp : Deadline of packet p

t : The current time

c’ : The remaining packet transmission time of the packet

Page 13: QOD PHASE-1 FINAL PPT

QoS-Oriented Distributed routing

protocol(QOD)

5. Data redundancy elimination based transmission

This algorithm eliminates the redundant data to improve the

QoS of the packet transmission

Page 14: QOD PHASE-1 FINAL PPT

OVERALL SYSTEM DESIGN

Page 15: QOD PHASE-1 FINAL PPT

ADVANTAGES OF PROPOSED SYSTEM

The QOD Protocol achieved low overhead and transmission

delay

Also provided high scalability in hybrid network

Page 16: QOD PHASE-1 FINAL PPT

SNAPSHOT FOR DETECTING

SOURCE AND DESTINATION

Page 17: QOD PHASE-1 FINAL PPT

SNAPSHOT FOR DATA TRANSMISSION

WITHOUT MOBILITY

Page 18: QOD PHASE-1 FINAL PPT

SNAPSHOT FOR DATA TRANSMISSION

WITH MOBILITY

Page 19: QOD PHASE-1 FINAL PPT

RESULTS

X axis = Mobility Y axis = Throughput

Page 20: QOD PHASE-1 FINAL PPT

RESULTS Cont…

X axis = Mobility Y axis = Delay

Page 21: QOD PHASE-1 FINAL PPT

Thank You For Listening!Any Questions?

Page 22: QOD PHASE-1 FINAL PPT

REFERENCES

[1] A. Parekh and R. Gallager. A generalized processor sharing

approach to flow control. In Proc. of Infocom, 1992.

[2] R. Braden, D. Clark, and S. Shenker. RFC1633: Integrated

services in the internet architecture: an overview. IETF, 1994.

[3] J. C. R. Bennett and H. Zhang. WF2Q: Worst-case fair

weighted fair queuing. In Proc. of Infocom, 1996

[4] D. B. Johnson and D. A. Maltz. Dynamic source routing in ad

hoc wireless networks. IEEE Mobile Computing, 1996.

[5] C. E. Perkin, E. M. Royer, and S. R. Quality of service in ad

hoc On-demand distance vector routing. IETF, 2001.

Page 23: QOD PHASE-1 FINAL PPT

REFERENCES Cont..

[6] T. Reddy, I. Karthigeyan, B. Manoj, and C. Murthy. Quality

of service provisioning in ad hoc wireless networks: a survey

of issues and solutions. Ad hoc Networks, 2006.

[7] C. Shen and S. Rajagopalan. Protocol-independent multicast

packet delivery improvement service for mobile ad hoc

networks. Ad Hoc Networks, 2007.

[8] Y. E. Sung, C. Lund, M. Lyn, S. Rao, and S. Sen. Modeling

and understanding end-to-end class of service policies in

operational networks. In Proc. of SIGCOMM, 2009.

Page 24: QOD PHASE-1 FINAL PPT

REFERENCES Cont..

[9] Y. Wei, M. Song, F. R. Yu, Y. Zhang, and J. Song. Distributed

optimal relay selection for QoS provisioning in wireless

multihop cooperative networks. In Proc. of GLOBECOM,

2009.

[10] Z. Li and H. Shen. A QoS-oriented distributed routing

protocol for hybrid networks. In Proc. of MASS, 2010.