Analysis of Routing Algorithms based on the Natural Inspiration

H. Fathima

Analysis of Routing Algorithms based on the Natural Inspiration

H. Fathima * § Assistant professor

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§ Bharathiyar University

Analysis of Routing Algorithms based on the Natural Inspiration

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Abstract

Nature is a great and immense source of inspiration for solving hard and complex problems in computer science since it exhibits extremely diverse, dynamic, robust, complex and fascinating phenomenon. Nature inspired algorithms are metaheuristics that mimics the nature for solving optimisation problems opening a new era in computation. A new agent-based routing algorithm using optimisation techniques is implemented in this paper. The different optimisation techniques are warty frog fish, artificial ant, ant, ant lion, grey wolf, genetic algorithm (GA) are the combinations used in the packet delivery between the networks. The routing is a process of carrying the data from source to destination in the network. The output of these algorithms is determined by the simulation time. The experiments are implemented with the NS2 software platform, which is based on the basics of C, C++ and TCL scripting language. The results of the algorithm showed that the grey wolf optimiser (GWO) is much better than the other algorithms in the packet delivery between the networks.

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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

H. Fathima. 2016. "Analysis of Routing Algorithms based on the Natural Inspiration". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 16 (GJCST Volume 16 Issue E2).

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GJCST Volume 16 Issue E2

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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 C.2.2 C.2.1

Submission ReceivedDecember 9, 2015
Peer Review Double Blind
Handling Editor
Accepted December 31, 2015
Published January 15, 2016

Version of record

v1.2

Issue date

April 18, 2016

Language

English

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Total Score: 141

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: H. Fathima (PhD/Dr. count: 0)

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Publish Date: 2016 01, Fri

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