Title: Efficient route discovery method in MANETs and packet loss reduction mechanisms

Authors: V. Lakshman Narayana; C.R. Bharathi

Addresses: Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India; Vignan's Nirula Institute of Technology and Science for Women, Peda Palakaluru, Guntur, Andhra Pradesh 522009, India ' Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India

Abstract: In the route of expansion in mobiles, quantity of nodes in the mobile ad-hoc networks (MANETs) must be expanded. The MANETs being active in nature and it starts issues in deciding the most ideal route for packets. In this paper an attempt to propose another routing method which consolidates the properties of both static and dynamic routing method from that point tries to take out the issues innate in the system through size-based routing is done. The paper concentrates on efficient route discovery process for secure data transfer with less ratio of packet loss. For the minimisation of assault and packet dropping different authors manufactured different technique such strategy is node validation, distant analysis scheme, ACK-based method, status-based plan and motivating force dependent plan. ACK-based plan endured an issue of monstrous overhead because of additional affirmation packet and it likewise endured choice equivocalness if asked for node decline to send back acknowledgement. In this paper we utilises 2-ACK-based plan utilising protected channel for conquering the issue of choice equivocalness for asked for node, enhanced node confirmation and limit packet dropping in ad-hoc network.

Keywords: dynamic routing; mobile ad-hoc networks; MANETs; traffic analysis; packet loss reduction; route discovery; 2-ACK method.

DOI: 10.1504/IJAIP.2023.130818

International Journal of Advanced Intelligence Paradigms, 2023 Vol.25 No.1/2, pp.129 - 140

Received: 13 Jan 2018
Accepted: 06 Mar 2018

Published online: 11 May 2023 *

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