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Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET

Arpit Kumar Jain1 , Manish Kumar2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 110-114, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.110114

Online published on Feb 28, 2019

Copyright © Arpit Kumar Jain, Manish Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Arpit Kumar Jain, Manish Kumar, “Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.110-114, 2019.

MLA Style Citation: Arpit Kumar Jain, Manish Kumar "Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET." International Journal of Computer Sciences and Engineering 7.2 (2019): 110-114.

APA Style Citation: Arpit Kumar Jain, Manish Kumar, (2019). Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET. International Journal of Computer Sciences and Engineering, 7(2), 110-114.

BibTex Style Citation:
@article{Jain_2019,
author = {Arpit Kumar Jain, Manish Kumar},
title = {Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {110-114},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3628},
doi = {https://doi.org/10.26438/ijcse/v7i2.110114}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.110114}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3628
TI - Multi - Objective Genetic Algorithm based Study for Energy Efficient Routing in MANET
T2 - International Journal of Computer Sciences and Engineering
AU - Arpit Kumar Jain, Manish Kumar
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 110-114
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Mobile Ad hoc Networks (MANET) possess dynamic topology and have no fixed infrastructure. Numerous challenges in routing in MANETs exist because of its frequent and unpredictable topology. One of the major constraints in designing of these protocols is the battery power. Various routing protocols have been implemented for finding optimal path from source to destination considering the cost and efficient use of energy. This paper explores different types of routing protocols, their merits and demerits, approach of routing protocols and implementation of one such energy efficient routing protocol technique using Genetic Algorithm to determine the shortest path between the source and the destination. Routing protocols based on Genetic Algorithm gives us the insight that how the concepts of genetics are applied to MANETs and is used to determine an optimal route taking into account the optimization of battery power. Genetic Algorithm takes less computational time, provides multiple optimal paths in case of failure of one path as well as increases the throughput of the network. In addition it covers the significance of Genetic Algorithm in MANETs.

Key-Words / Index Term

Mobile Ad hoc Network (MANET), Routing Protocol, Efficient Routing Protocols, Genetic Algorithm(GA)

References

[1] Arun Biradar, Ravindra C. Thool, Vijaya R. Thool, “Genetic Algorithm Based Unipath and Multipath Intelligent Routing for Mobile Ad-hoc Networks”, International Journal of Advances in Computer Science and Technology, Vol.3, Issue.4, pp.276-282, 2014.
[2] Shipra Gautam, Rakesh Kumar, “A Review of Energy-Aware Routing Protocols in MANETs”, International Journal of Modern Engineering Research, Vol.2, Issue.3, pp.1129-1133, 2012.
[3] Upasna, Jyoti Chauhan, Manisha, “Minimized Routing Protocol in Ad-Hoc Network with Quality Maintenance Based on Genetic Algorithm: A Survey”, International Journal of Scientific and Research Publications, Vol.3, Issue.1,pp.1-5, 2013.
[4] Anjum Asma, Gihan Nagib, “Energy Efficient Routing Algorithms for Mobile Ad Hoc Networks –A Survey”, International Journal of Emerging Trends & Technology in Computer Science, Vol.1, Issue.3, pp.218-222, 2012.
[5] N. Kumar, Dr.C.Suresh, Gnana Dhass, “Power Aware Routing Protocols in Mobile Adhoc Networks-Survey”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2, Issue.9, pp.121-128,2012.
[6] Ravi G, Reemlus Jacob D, “Energy Aware Routing For Ad-hoc Networks Using Dynamic Path Switching”, International Journal of Ad hoc, Sensor & Ubiquitous Computing, Vol.5, Issue.3, pp.1-11, 2014.
[7] Kewal Vora, Jugal Shah, Shreyas Parmar, Shivani Bhattacharjee “MANETs: Overview of Vulnerabilities, Security Threats and Prevention and Detection Techniques”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.10, pp.26-31 2015.
[8] N. Kohila, R. Gowthami, “Routing Protocols in Mobile Ad-Hoc Network”, International Journal of Computer Science and Mobile Computing, Vol.4, Issue.1, pp.159-167, 2015.
[9] Sonam Jain, Sandeep Sahu, “The Application of Genetic Algorithm in the design of Routing Protocols in MANETs: A Survey”, International Journal of Computer Science and Information Technologies, Vol.3, Issue.3, pp.4318-4321, 2012.
[10] Sumathy S, Sri Harsha E, Yuvaraj Beegala, “Survey of Genetic Based Approach for Multicast Routing in MANET”, International Journal of Engineering and Technology, Vol.4, Issue.6, pp.474-485, 2013.
[11] Lubdha M. Bendale, Roshani. L. Jain, Gayatri D. Patil, “Study of Various Routing Protocols in Mobile Ad-Hoc Networks”, International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.1, pp.1-5, 2018.
[12] Rajeev Ranjan, P.J. Pawar, “Assembly Line Balancing Using Real Coded Genetic Algorithm”, International Journal of Scientific Research in Computer Science and Engineering, Vol.2, Issue.4, pp.1-5, 2014.