The Multicast Techniques that are Efficient for Multichannel Wireless Mesh Networks
B Reddy · 2023
Wireless mesh networks (WMNs) have received a lot of interest in recent years due to the realization that multicast may significantly improve their performance. However, in order to minimize overall network disturbance and increase network performance, multicast interaction in WMNs needs an effectual channel task mechanism. In order to quantify interference and address the hidden channel issue in multicast communication, the idea of local multiplex is developed in this study. Based on this idea, we offer a channel assignment technique that takes Deep Convolutional Neural Networks, or DCNN interference into account. The approach maximizes network performance by considering overlapping and non-overlapping channels. The suggested approach has been shown to enhance WMN network capacity and decrease interference in simulations.