Fuzzy logic hybridized artificial intelligence for computing and networking on internet of things platform

Artificial intelligence Computerized modelling is the best solution to manage immense information and storage in the IoT Network. Furthermore, IoT these days becoming more increasingly well-known with the development of high speed web systems and many advanced sensors that can be coordinated into a microcontroller. The information flows in the virtual environment presently will have these sensors data and the client information that can be send and receive information from the workstations using the peer to peer networking and computing. With the increase in the quantity of workstation and an ever increasing number of sensors, a few information might confront issues on the storage, delay, area constraint and congestion in the systems. To keep away from these issues, numerous mathematical calculations have been proposed in the recent past which has not been developed an fruitful solution for this issues.. In this work, an advanced fuzzy hybridized Artificial Intelligence system has been proposed to management the request on IoT platform. The significance of request management and computing has been processed in this paper. The experiment results show prominent outcomes than traditional methods.