Optimize Multiple Route Discovery for Manet Using Energy and Velocity Constraint

IJCOT-book-cover International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2024 by IJCOT Journal
Volume - 14 Issue - 1
Year of Publication : 2024
Authors : Rajshree Soni, Vinod Maan
DOI : 10.14445/22492593/IJCOT-V14I1P303

How to Cite?

Rajshree Soni, Vinod Maan "Optimize Multiple Route Discovery for Manet Using Energy and Velocity Constraint" International Journal of Computer and Organization Trends  vol. 14, no. 1, pp. 19-26, 2024. Crossref, https://doi.org/10.14445/22492593/IJCOT-V14I1P303 

Abstract

Mobile ad hoc networks, or MANETs, are networks of mobile devices that function without the need for fixed infrastructure. They are dynamic and self-configuring. Because MANETs are inherently mobile, power-constrained, and have variable link quality, they present particular difficulties for routing protocols. Therefore, in order to provide the best paths for data transfer, a routing protocol that can control node mobility while preserving node energy efficiency and helps minimize packet loss is required in order to overcome the challenges. In order to increase the lifespan of the network, a routing protocol that provides velocity-constrained, energy-efficient routes with improved link reliability is thus proposed in this paper.
The optimization of multiple route discovery mechanisms through energy and velocity constraints is the main focus of this research, which examines the most recent developments and difficulties in MANET routing protocols. This research aims to enhance the overall performance of MANET networks in various scenarios by improving the efficiency, reliability, and resilience of communication by incorporating energy and velocity considerations into route discovery processes.
In terms of QoS matrices, the suggested protocol outperforms the current protocol. The novel simulation has been performed using the network simulator NS-2.35 tool. According to simulation results, the suggested routing protocol performs better in terms of QoS metrics. We can infer from the graphs that the suggested EV-AOMDV protocol works better to offer route optimization during route discovery. Using more dependable paths from source to destination also decreases lost packets and delays with an increase in the number of successfully delivered packets.

Keywords

Ad hoc Networks, Node Velocity, Energy Efficiency, EV-AOMDV, QoS.

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