Research Article |
Impact of Propagation Environment on the Performance of Direction Oriented Forwarding through Minimum Number of Edge Nodes (DOF-MEN) Routing Protocol In Ad Hoc Networks
Author(s): Varun P, Narayanan R C , R. Suganthi, Mohanaprakash T A*, S. Derisha Mahil
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 2
Publisher : FOREX Publication
Published : 30 May 2024
e-ISSN : 2347-470X
Page(s) : 529-534
Abstract
One sort of wireless ad-hoc network is called MANET (Mobile Ad-hoc Network), which is an autonomous network made up of wireless nodes and routers connected by wireless connections. Transmission of data in effective way is important. The DOF-MEN (Direction Oriented Forwarding through Minimum Number of Edge Nodes) protocol is the protocol which lessens the amount of messages for route discovery. It attempts to choose just single node as the next following hop. The node's address is added by the sender. Therefore, only the chosen node will receive and subsequently transmit the data. This protocol increases the throughput, Packet Delivery Ratio, and cuts down on the Routing Overhead. Several aspects affect the routing protocol's execution accuracy in mobile ad hoc networks (MANET). The propagation model is a crucial thing to be considered among many. MANET experiences an enormous loss in performance due to blockage between transmission devices and fluctuation in the receiver's signal intensity. Therefore, it's crucial to determine how Radio Propagation Model and study of performance of routing protocol in MANET. Here we do simulation and analysis using NS2 (Network Simulator 2). The outcome demonstrates that the MANET routing protocol's performance is more influenced by the propagation model.
Keywords: Mobile Ad-hoc Network
, Direction Oriented Forwarding
, Minimum Number of Edge Nodes
, Radio Propagation Model
.
Varun P, Department of Data Science and Business Systems, School of Computing,SRM Institute of Science and Technology, Kattankulathur; Email: varunp@srmist.edu.in
Narayanan R C, Department of CSE, Sona College of Technology, Salem; Email: narayananrc@sonatech.ac.in
R. Suganthi, Department of ECE, Panimalar Engineering College, Chennai, India; Email: drrsuganthi@panimalar.ac.in
Mohanaprakash T A*, Department of Computer Science and Engineering ,CMR University, Bengaluru, Karnataka 560043,India; Email: tamohanaprakash@gmail.com
S. Derisha Mahil, Department of Computer Science and Engineering, S. A. Engineering College, Chennai, Artificial Intelligence and Machine Learning, Chennai,India; Email: derisha@saec.ac.in
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