Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 1 — Issue 1 — September 2019

IMPROVED SOFTWARE DEFINED NETWORK ROUTING FOR TELECOMMUNICATION NETWORKS

https://doi.org/10.36548/jucct.2019.1.001
Suma V
Professor, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India
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V, Suma. 2019. “IMPROVED SOFTWARE DEFINED NETWORK ROUTING FOR TELECOMMUNICATION NETWORKS”. Journal of Ubiquitous Computing and Communication Technologies 1 (1): 1-12. https://doi.org/10.36548/jucct.2019.1.001.
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Keywords

— Telecommunication network
— Software defined Networking
— Deep learning
— seamless communication
— packet loss rate and average delay
Published: 30-09-2019

Abstract

The rapid advancements in the telecommunication networks, has led to the day by day progress in the data communication leading to the inclusion of many devices that causes complexities in managing and the maintaining of the networks. The outgrowing number of new network devices makes the traditional telecommunication networks incompatible to their flexible operation and the management. So the trending software defined networking can be opted for the provision of more convenient service providing a seamless communication, but the SDN's lags in the self-adaptability and the efficient usage of the resources as it uses the concept of the traditional networks so the paper proposes an modified method of software defined networking based on the deep learning to enhance the performance, of the telecommunication networks. Further the evaluation of the telecommunication network routing with the improvised SDN, on the packet loss rate and the average delay shows that the proposed method is compatible for the seamless information provision of the nowadays telecommunication networks.

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