MEASURING THE EFFECT OF CBR AND TCP TRAFFIC MODELS OVER DYMO ROUTING PROTOCOL

Dr. Muhammad Inayat ullah; Zeeshan; Mahwish Kundi

MEASURING THE EFFECT OF CBR AND TCP TRAFFIC MODELS OVER DYMO ROUTING PROTOCOL

Dr. Muhammad Inayat ullah * §

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Zeeshan

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Mahwish Kundi

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§ University of Engineering & Technology, Peshawar, pa...

MEASURING THE EFFECT OF CBR AND TCP TRAFFIC MODELS OVER DYMO ROUTING PROTOCOL

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Abstract

A Mobile Ad hoc Network (MANET) are classified as single or multihop wireless network in which nodes can freely move and dynamically self-organize, also the network is highly dynamic in terms of topological changes. Mobile nodes can communicate with themselves without any need of predefined infrastructure. But due to the dynamic nature of MANETs in terms of mobility and no infrastructure, they are provided with limited bandwidth and limited battery power. Due to these characteristics, the MANETs are best suited for military operations, in battlefield grounds, Disaster relief and rescue operations. Choosing the mobility model is very much crucial for specific application area that represents the moving behaviour of a mobile node that should be realistic. Changing the mobility scenario, allows changes in routing performance of a routing protocol in terms of routing metrics such as Delays, Throughput, and Routing Overhead etc within the current application area. Main aim of this research paper focus to study the effects of Transmission Control Protocol TCP and Constant Bit Rate CBR from different angles over Dynamic MANET on demand routing protocol known as DYMO in order to find out the performance degradation on the basis of Data packets and Control packets. Using the Network Simulator 2, experimental results show that functions of the routing protocol vary across different parameters like sending and receiving ratio of data packets and numbers of Control packets send during the simulation period.

References

16 Cites in Article

Reference Format

Ari,N Jethani,A Rangnekar,S Natarajan (2005). Performance Analysis and Comparison of Ah-Hoc Routing Protocols.
S Corson,J Macker (1999). Mobile Ad hoc Networking (MANET): Routing Protocol Performance Issues and Evaluation Considerations.
J Galvez,P Ruiz (2007). Design and Performance Evaluation of Multipath Extensions for the DYMO Protocol.
S Gowrishankar,Subir Sarkar,T Basavaraju (2007). Scenario Based Simulation Study of Ad Hoc Routing Protocol's Behavior in Wireless Sensor Networks.
Geetha Jayakumar,G Gopinath (2008). Performance Comparison of Two On-demand Routing Protocols for Ad-hoc Networks based on Random Way Point Mobility Model.
D Jörg (2003). Performance Comparison of MANET Routing Protocols in Different Network Sizes.
Dong-Won Kum,Jin-Su Park,You-Ze Cho,Byoung-Yoon Cheon (2010). Performance Evaluation of AODV and DYMO Routing Protocols in MANET.
M Maashri-Al,O-Khaoua (2006). Performance Analysis of MANET Routing Protocols in the Presence of Self-Similar Traffic.
Jose Martins,Sergio Correia,Joaquim Celestino (2010). Ant-DYMO: A bio-inspired algorithm for MANETS.
T Matsuda,H Nakayama,S Shen,Y Nemoto,N Kato (2008). On Gateway Selection Protocol for DYMO-Based MANET.
Quebec Montreal (2009). Delay-Tolerant Dynamic MANET On-demand Routing.
Muktadir,H A Al (2007). Energy Consumption Study of OLSR and DYMO MANET Routing Protocols in Urban Area.
S Oh,D Kim,H Jeong,K Nat (2007). EK-DYMOv6: Implementation of DYMO with PacketBB Conformance in IPv6 Environment.
Subir Sarkar,T Basavaraju,C Puttamadappa (2007). Ad Hoc Mobile Wireless Networks.
Christoph Sommer,Isabel Dietrich,Falko Dressler (2009). A Simulation Model of DYMO for Ad Hoc Routing in OMNeT++.
E Spaho,L Barolli,G Mino,F Xhafa,V Kolici,R Miho (2010). Performance Evaluation of AODV, OLSR and DYMO Protocols for Vehicular Networks Using CAVENET Network-Based Information Systems (NBiS).

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Muhammad Inayat ullah, Zeeshan, Mahwish Kundi. 1970. "MEASURING THE EFFECT OF CBR AND TCP TRAFFIC MODELS OVER DYMO ROUTING PROTOCOL". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 14).

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GJCST Volume 11 Issue 14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Ad Hoc network CBR DYMO MANET TCP Traffic patterns

Classification

GJCST Classification C.2.6

C.2.2

Submission ReceivedJune 20, 2011
Peer Review Double Blind
Handling Editor
Accepted July 18, 2011
Published July 31, 2011

Version of record

v1.2

Issue date

August 2, 2011

Language

English

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Article Matrices

Total Score: 148

Country: Pakistan

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Muhammad Inayat ullah, Zeeshan, Mahwish Kundi (PhD/Dr. count: 1)

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Publish Date: 2011 07, Sun

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