Network Congestion Control Using Deep Convolutional Neural Networks

Abstract

Network congestion is getting more and more severe day by day with the deployment of long-term evaluation (LTE) and 5G as more users get added to the networks. The issue gets even more severe with the rapid growth of e-commerce, online banking and entertainment platforms like Netflix, Amazon Prime, YouTube that generate a huge amount of traffic worldwide. In this chapter, the authors address this traffic congestion issue with a hand-held solution. Here they proposed a method that can be used for network congestion control. Simulation studies show the performance of the proposed method that works with 50% compression of the transmitted images which can reduce the size of image by 50% by keeping quality of service. The aim is to reduce the network traffic by half in both transmitter and receiver ends.