Application of fuzzy artificial intelligence in metropolitan IoT services based on multilayer fog computing

Today, the Internet of Things (IoT) has become an integral part of citizens' lives, and a variety of programs and services such as smart city services, smart homes and smart cars are being offered on its platform. Response delays in real-time applications - based on the traditional cloud computing model - have introduced a relatively new concept of cloud computing to bring processing and storage resources closer to IoT sensors and operators. Limited resources in the fog layer have reduced its efficiency. In order to improve the performance of fog layer applications, this paper introduces a new model that uses resources in different layers dynamically. In this model, an intelligent fuzzy control system is used to determine the appropriate location for processing applications in one of the fog layers or the cloud layer or the layers between them. The simulation results show that this model has good performance and reduces the average response time of IoT services 5%