Published Paper Details:

Wireless Mesh Networks (WMNs) have emerged as a robust and scalable solution for providing broadband wireless connectivity. However, challenges such as dynamic topology, interference, routing complexity, and scalability persist. Artificial Intelligence (AI), with its capabilities in learning, prediction, and optimization, offers novel solutions to enhance the performance of WMNs. This article reviews the integration of AI techniques--such as machine learning, deep learning, reinforcement learning, and fuzzy logic--into various layers of WMNs, including routing, channel allocation, traffic prediction, security, and fault management. In the field of Computer Networks, a Mesh Network is one of the revolutionary concepts for communication and data transmission in a set of various nodes. The Mesh Network is a decentralized communication system that is used for data transmission and data collection In this approach the nodes are directly connected, where there is the dynamic web interconnections among them, and the transmission takes place.