Abstract: In complex network environments, the increase in the number and diversity of device terminals have led to network bandwidth and latency, becoming bottlenecks that restrict fast data access. In order to effectively manage and allocate different device terminal resources, a fast data access method for hospital equipment terminals facing 5G(5th Generation Mobile Communication Technology) cellular IoT(Internet of Things) is proposed. Establish a 5G cellular IoT scenario, determine the network environment and available resources, and provide a basis for data access. Combining the K-means clustering algorithm with the maximum minimum distance algorithm to cluster and partition terminal data, establishing a sequence of data access, effectively managing the process of data access, and achieving rapid access of hospital equipment terminal data. The experimental results show that the proposed method can efficiently and stably achieve fast access to terminal data.

Key words: 5th generation mobile communication technology (5G) cellular internet of things, K-means clustering algorithm, terminal data, data clustering, terminal data access