A. Suhasini

Work place: Department of computer science & Engineering, Annamalai University, Annamalainagar – 608002, TamilNadu, India

E-mail: suha_babu@yahoo.com

Website:

Research Interests: Image Processing, Network Security, Computer Networks, Machine Learning

Biography

Dr. A. Suhasini, is an Associate professor in the Department of CSE Annamalai University. She has around 25 years of teaching experience. She has guided several research scholars and published more than 20 papers in the international journals and conferences. Her area of interest includes Computer Networks, Image Processing, Machine learning techniques, Pattern classification Techniques, Network security.

Author Articles
Cluster Head Selection and Optimal Multipath detection using Coral Reef Optimization in MANET Environment

By S. Venkatasubramanian A. Suhasini C. Vennila

DOI: https://doi.org/10.5815/ijcnis.2022.03.07, Pub. Date: 8 Jun. 2022

Mobile Ad-hoc Network (MANET) data transfer between nodes in a multi-hop way offers a wide variety of applications. The dynamic feature of ad hoc network mobile nodes is primarily influenced by safety issues, which limit data forwarding rate in multipath routing. As a supplementary method to improve safe data delivery in a MANET, this paper propose and analyse the cluster head (CH) selection and optimum multipath scheme. The CHs are chosen based on the possibility values of each node in MANET, which are considered from the residual energy of each node. During the present phase, the total remaining node energy is used to calculate the mean energy of the entire network. The most likely nodes are picked as the CH, which gathers packets from the cluster members through multi-hop communication. The fundamental idea is to partition a top-secret communication into several shares and then forward the shares via numerous routes to the destination. The Coral Reef Optimization method is used in this work to perform optimum multipath routing. The thorough simulation findings validate the feasibility and efficacy of the suggested strategy in comparison to Butterfly optimization algorithm (BA), Whale Optimization algorithm (WOA) and BAT algorithm techniques.

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