To Enhance the Performance of Wireless Adhoc Networks with deep learning

  • Vijay Rana, Gurpinder Singh, Vijay Dhir, Shweta Mahey

Abstract

A Mobile Ad-Hoc Networks can be made to execute better via a range of techniques and one technique is network coding that defines broadcasting of data packets and consequently can significantly improve network competence whilst preserving the quality of service. This work describes the some key issues of Mobile Ad-Hoc Networks due to insecure security firewall, threats from cooperation nodes, lack of vital monitoring techniques and especially black hole attack. The proposed model tries to handle the impact of the black hole attack in the performance of wireless ad hoc networks with appropriate routing and deep learning protocol. The experimental results provides an appreciate comparison of performance of MANETS with and without black hole attack for dissimilar network circumstances.

Published
2020-02-11
How to Cite
Vijay Dhir, Shweta Mahey, V. R. G. S. (2020). To Enhance the Performance of Wireless Adhoc Networks with deep learning. International Journal of Advanced Science and Technology, 29(3), 2416-2420. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/4343
Section
Articles