Design and Application of Smart City Internet of Things Service Platform Based on Fuzzy Clustering Algorithm

Abstract

The development of the city is dependent on various information technologies, the core of which is the Internet of Things technology. The traditional multisource information collaboration mode of urban system is relatively single, with low collaboration efficiency and lack of effective measurement of collaboration structure. In this paper, a design scheme of IoT (Internet of Things) service platform for smart cities is proposed, and a multisource information collaborative difference measurement model with a given confidence interval is constructed based on a fuzzy clustering algorithm to meet the needs of developing IoT energy management application services and “smart city” energy management in different environments. In the experiment of participating in the fusion, the number of participating nodes is reduced to about 50 from the third iteration, which is reduced by half. In the traditional algorithm, almost all nodes participate in every fusion process. However, the improved algorithm can greatly reduce the number of participating nodes, thus greatly reducing the computational requirements of the algorithm. The experimental results show that the fuzzy clustering algorithm is effective. The system can be used in vehicle networking, geological disaster prevention, environmental monitoring, and other fields.