Internet of Things Routing Algorithm Based on Fuzzy K-means Clustering of Big Data
Xian Luo, Liang Dong, Xiang Li, Wangsong Ke, Fei Long · 2023
In the application process of Internet of Things, the accuracy of user information obtained has great influence on the final data mining results. As an effective carrier for sensing information, wireless sensor networks can fully utilize the advantages of the Internet of Things technology to establish unified network communication protocols and service support strategies that can simultaneously meet multiple needs. In order to evaluate the performance of the algorithm, the derivation and analysis of the optimal cluster head are simulated and verified, and the performance indicators such as clustering, the number of dead nodes and the life cycle of the network are simulated. The results show that compared with ANN (Artificial Neural Network) and GA (Genetic Algorithm), this algorithm saves more energy and has a longer network life cycle. It can be seen that the detection result of this algorithm is more accurate and its algorithm performance is better.