A Fault Detection Method Based on Clustering Algorithm for Internet of Things

In recent years, the Internet of Things (IoT) has experienced fast-paced technological advancements, connecting numerous smart devices and sensors and enabling seamless data exchange between them. However, due to software and hardware failures, it's inevitable that many sensors will fail, which can seriously affect the availability of IoT. To address this issue, we propose a fault detection method based on the clustering algorithm in this paper. This method divides sensors into different clusters, and the cluster head can determine the status of sensors based on data from neighboring sensors within the same group. Our simulation experiments demonstrate that this fault detection method has better performance in terms of detection accuracy and false positive rate.