Secure and controllable data management mechanism for multi‐sensor fusion in internet of things

Abstract

AbstractWith the rapid development of Internet of Things (IoT) technology, the number of sensors in IoT and the data collected from them are increasing. If these data are not managed and stored directly, it will occupy a large amount of storage space. Therefore, studying the data management mechanism of multi‐sensor fusion in IoT is of great significance. Multi‐sensor fusion has achieved a series of successes in the field of data management. Based on this, this article proposes a secure and controllable data management mechanism for multi‐sensor fusion in IoT, including a multi‐sensor fusion model, compression of data using linear regression algorithm, and data storage based on sorted string table algorithm. Then this article analyzes the effectiveness of the model proposed for multi‐sensor fusion data management. Through comparative experiments under different data sets, it is verified that the management mechanism has higher data fusion rate, lower data lossy compression rate and higher data lossless compression rate under different data sets. And it has high data storage security, large reconstruction probability, strong management controllability, and can significantly save storage space. It is a superior secure and controllable data management mechanism for multi‐sensor fusion in IoT.