Home > Computer Science > Computer Network > Volume-3 > Issue-1 > Improving Robustness of Data Network Using Intelligent Modulation Technique

Improving Robustness of Data Network Using Intelligent Modulation Technique

Call for Papers

Volume-8 | Advancing Multidisciplinary Research and Analysis - Exploring Innovations

Last date : 28-Mar-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Improving Robustness of Data Network Using Intelligent Modulation Technique


Aneke Israel Chinagolum | Chineke Amaechi Hyacenth | Udeh Chukwuma Callistus. W

https://doi.org/10.31142/ijtsrd18991



Aneke Israel Chinagolum | Chineke Amaechi Hyacenth | Udeh Chukwuma Callistus. W "Improving Robustness of Data Network Using Intelligent Modulation Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1, December 2018, pp.315-323, URL: https://www.ijtsrd.com/papers/ijtsrd18991.pdf

The problem of not having a reliable communication network has arisen as a result of robustness of the network which emanate to having high bit error rate, congestion and fading. This can be overcome by characterizing a typical broadband data networks, designing a Simulink model of the network of study and use it to study the extent of robustness of data in the network, evaluating the behavior of packets in the channel network, designing an adaptive modulation scheme to improve robustness in the data network, simulating the above using MATLAB Simulink, designing a visual basic model for improving the robustness of data network using adaptive modulation technique and evaluating and analyzing the performance of the adaptive modulation for improved robustness to ensure the model developed achieved the research objective. The reduction of robustness in data obtained using adaptive modulation is about 50% better than using the conventional method. With this result it shows that to enhance free communication network adaptive modulation most be incorporated to reduce the robustness of the network.

robustness, intelligent, modulation


IJTSRD18991
Volume-3 | Issue-1, December 2018
315-323
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin