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Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET

J. Vijayalakshmi1 , K. Prabu2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 1036-1039, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.10361039

Online published on Mar 31, 2019

Copyright © J. Vijayalakshmi, K. Prabu . 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: J. Vijayalakshmi, K. Prabu, “Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.1036-1039, 2019.

MLA Style Citation: J. Vijayalakshmi, K. Prabu "Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET." International Journal of Computer Sciences and Engineering 7.3 (2019): 1036-1039.

APA Style Citation: J. Vijayalakshmi, K. Prabu, (2019). Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET. International Journal of Computer Sciences and Engineering, 7(3), 1036-1039.

BibTex Style Citation:
@article{Vijayalakshmi_2019,
author = {J. Vijayalakshmi, K. Prabu},
title = {Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {1036-1039},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3961},
doi = {https://doi.org/10.26438/ijcse/v7i3.10361039}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.10361039}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3961
TI - Analysis of Energy Based Cluster Head Selection Using CAODV Algorithm in MANET
T2 - International Journal of Computer Sciences and Engineering
AU - J. Vijayalakshmi, K. Prabu
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 1036-1039
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Clustering is the most broadly used performance resolution for Mobile Ad Hoc Networks enabling their scalability for a high quantity of mobile nodes. The intend of clustering schemes is pretty complex, appropriate to the very lively topology of such networks. The Proposed system is when the new node is entered the cluster in sometimes the fresh node will be the cluster head (CH). Because the head node can communicate to gateway in every transmission at the time cluster head energy level is decrease. When the clustering head reached in small energy level doesn’t to broadcasting the packets the new node will become a CH. Because the fresh node have a maximum level of energy. So the proposed algorithm CAODV is increased packet delivery ratio better performance than the existing Distributed Weighted Clustering Algorithm (DWCA) using MATLAB simulink.

Key-Words / Index Term

MANET, CAODV Clustering, DWCA, Packet Delivery Ratio, Energy Consumption

References

[1] H.J.Cha, J.M. Kim and H.B. Ryou, “A study on the clustering scheme for node mobility in mobile Ad-hoc network”, In Advanced in Computer Science and its Applications, Springer Berlin Heidelberg, Vol(279), Iss(1), Pages:1365-1369, 2014.
[2] Mohd. Junedud Haque, Mohd Muntjir and Hussain Abu Sorrah, “A Comparative Survey of computation of cluster head in manet”, International Journal of computer applications, Vol(118), Iss(3), Pages: 6-9, 2015.
[3] Faraz Ahsan and Akhtab Hussain Khalid Hussain, Abdul Hanan Abdullah, Khalid M. Awan, “Cluster Head Selection Schemes for WSN and MANET: A Survey”, World Applied Sciences Journal, Vol(23),Iss(5), Pages: 611-620, 2013.
[4] Mrs.J.Vijayalakshmi and Dr.K.Prabu, “Performance Analysis of Clustering Schemes in MANETs”,ICICI 2018 International Conference on Intelligent Data Communication Technologies and Internet of Things(ICICI), pp.808-813, 2018.
[5] K. Ramesh and D. K. Somasundaram, “A comparative study of cluster head selection algorithms in wireless 11,sensor networks”, International Journal of Computer Science& Engineering Survey, Vol (2), Iss (4), 2011.
[6] Vijayakumar G et. Al, “Current Research Work on Routing Protocols for MANET : A Literature Survey”, International Journal of Computer Science and Engineering (IJCSE), Vol(02), Iss(03), pages:706-713, 2010.
[7] Mrs.J.Vijayalakshmi and Dr.K.Prabu, “A Survey of Various Weighted based Clustering Algorithm for MANET”, International Journal of Data Mining Techniques and Applications, Vol.07, Iss.01, pp.146-153, june 2018.
[8] Ishita Chakraborty and Prodipto Das, “Data Fusion in Wireless Sensor Network- A Survey”, IJSRNSC, Vol(5), Iss(6), pages:9-15, 2017.
[9] Mrunal Gavhale, Pranav D. Sarat, “Survey on Algorithms for Efficient Cluster Formation and Cluster head selection in Manet”, International conference on information Security and Privacy, Vol(78), Pages: 477-482, 2015.
[10] Mandeep Singh and Mr.Gagangeet Singh, “A Secure and Efficient Cluster Head Selection Algorithm for Manet”, JNCET, Vol(2), Iss(2), Pages: 49-52, June 2015.
[11] Dr. M. Balamurugan and C. Kavi priya, “Energy Based Cluster Head Selection Algorithm in Manet”, IJCSET, Vol(5), Iss(8), Pages: 312-315, Aug 2015.
[12] Ghaidaa Muttasher Abdulsaheb, Osamah Ibrahem Khalaf, Norrozila Sulaiman, Hamzah F.Zmezm and Harith Zmezm, “Improving Ad hoc Network Performance by Usinf an Efficinet Cluster Based Routing Algorithm”, Indian Journal of Science and Technology, Vol(8), Iss(30), Pages: 1-8, Nov 2015.
[13] Supreet Kaur, Varsha Kumari, “Efficient Clustering with proposed Load balancing Technique for Manet”, International Journal of computer Applications, Vol(111), Iss(13), Pages: 21-26, Feb 2015.