Optimized Routing Technique for Adaptive Data Transmission in Industrial IoT

In recent years, industrial internet of things (IIoT) has become an important research topic among industry and academia. In IIoT there is a huge demand for data exchange among different smart devices with different delay flows. However, there is a less amount of research has been carried out in this field. In order to address the limitations of the traditional routing method, The proposed work gives a numerical modeling applicable to perform adaptive transmission optimization with a set of the programmable module structure and ensure cost-effective route establishment. The proposed work utilizes bio inspired swarm intelligence based data-driven cluster head (CH) selection with energy optimized route formation to obtain an optimal route. The extensive simulation outcome shows that particle swarm optimization (PSO) based clustering attain better delay, path difference degree and packet delivery ratio as compared to other conventional methods.