Optimization Simulation of Information Transmission of Internet of Things Nodes Based on Constraint Clustering Algorithm

The traditional differential data fusion method in IoT (Internet of Things) information interaction is constrained by its own openness and self-organization, and it is easy to be attacked in the process of data interaction and fusion calculation. Aiming at the problem of long transmission time due to network congestion caused by different types of IoT nodes, an information transmission optimization method of IOT nodes based on constrained clustering algorithm is proposed. Firstly, K-means balanced constraint clustering algorithm is used to cluster the positioning results, and then gross errors are screened out according to the clustering results, and finally the information transmission of IoT nodes is optimized. The simulation results show that with the increasing number of congested nodes, the average relative error of the proposed method for locating congested nodes in mobile networks is much smaller than that of the node locating methods in the literature. In the case of online information transmission, the proposed method also has high optimization accuracy of information transmission quality of IoT nodes.