Research Article | OPEN ACCESS
Enhancing the Performance Metrics by Using Genetic Algorithm
A. Gayathri and P. Narayanasamy
Department of Information Science and Technology, Anna University, Chennai-24, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2015 3:344-349
Received: December 29, 2014 | Accepted: February 8, 2015 | Published: May 30, 2015
Abstract
Security is a vital factor in the field of MANETS. Many researchers are fascinated in finding solution for security. To make it secure EAACK with watchdog mechanism is used, although these techniques avoid intrusion over the network, it also reduces the performance metrics of the network by delay in energy and packet delivery ratio. EAACK is composed of three parts namely ACK, S-ACK and MRA. Hence, we use efficient and secure cryptographic technique with the help of combining EAACK with Genetic Algorithm is used. By using this technique the performance metrics is enhanced and the network performance is achieved successfully. Here we have obtained results from NS2 simulation.
Keywords:
Cryptography , EAACK, genetic algorithm, MANET, security, watchdog,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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