Guaranteeing critical communications by using fuzzy logic based intelligent control systems in Wi-Fi Networks

Abstract

In the face of intensifying global challenges, including climate change, geopolitical turbulence, and both natural and anthropogenic disasters, the urgency of effective disaster management has been brought to the forefront. Risk reduction, preparedness for response, and recovery is of crucial importance in this context. Communication technologies play an essential role in disaster management, and among the technologies used, Wi-Fi networks play a significant part. When traditional communication systems are overloaded or break down during a disaster scenario, Wi-Fi networks can provide an alternative means of information dissemination and coordination for response teams, as well as communication for victims affected. In this paper, we introduce a novel slicing algorithm that, using a logic similar to human thinking, aims to dynamically optimize the resource allocation over Wi-Fi networks for critical services. By exploiting In-band Network Telemetry (INT) techniques to monitor the network, our work aims to dynamically prioritize certain critical services by applying network slicing techniques in real time even under difficult network conditions, thus improving the role of Wi-Fi networks in disaster management situations.