Understanding Network Routing Problem and Study of Routing Algorithms and Heuristics through Implementation

Understanding Network Routing Problem and Study of Routing Algorithms and Heuristics through Implementation

Saumya Shandilya

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Understanding Network Routing Problem and Study of Routing Algorithms and Heuristics through Implementation

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Abstract

In this project, we intend to identify, understand and compare various routing algorithms used in real world networks. The various objectives of this research are: 1. Define and understand the concepts of routing. 2. Determine if a Greedy or Dynamic Programming strategy algorithm is more efficient for routing, in general. Identify which strategy is used more in real world networks. 3. Identify the common routing algorithms used in networks. Identify which algorithms are used in which scenarios. 4. Identify the performance metrics for gauging algorithms. 5. Compare existing routing algorithms in various scenarios (on the simulation software). Also note specific phenomena or anomalies during simulation. 6. Think of modifications (if any) in existing routing algorithms, or devise a new routing algorithm.

References

8 Cites in Article

Reference Format

L Setiawati Differences Performance OSPFv2 and RIPv2 Routing Protocols In Network IPv4 Using Simulator GNS3 And ENSP.
B Wu (2011). Simulation Based Performance Analyses on RIPv2, EIGRP, and OSPF Using OPNET.
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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

Saumya Shandilya. 2018. \u201cUnderstanding Network Routing Problem and Study of Routing Algorithms and Heuristics through Implementation\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 17 (GJCST Volume 17 Issue E5): .

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GJCST Volume 17 Issue E5
Pg. 27- 32

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-E Classification: B.7.2, C.2.2

Submission ReceivedDecember 9, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

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v1.2

Issue date

January 12, 2018

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Saumya Shandilya (PhD/Dr. count: 0)

View Count (all-time): 257

Total Views (Real + Logic): 6190

Total Downloads (simulated): 1518

Publish Date: 2018 01, Fri

Monthly Totals (Real + Logic):

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Total Views: 6190

Total Downloads: 1518

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