Review of Research on Data Fusion in the Internet of Things
With the rapid development of Internet of Things(IoT) technology,a large amount of data generated by sensors and devices has different formats,sampling frequencies,and qualities,requiring data fusion. Data fusion technology can integrate,transform,and process data generated by heterogeneous sensors and devices in the IoT,reduce data noise,address data inconsistency issues,and improve the reliability and utilization of data resources. This article provides an overview of the fusion process based on the theory of IoT data fusion,discusses key technologies such as data preprocessing,data mining,and data fusion algorithm,summarizes recent research achievements,advantages,disadvantages,and challenges faced,and provides prospects for future research directions. This article contributes to understanding the current research status and trends of data fusion technology,and provides some reference value for the development of data fusion technology in the field of IoT.
Internet of Thingsdata fusiondata preprocessingdata miningdata fusion algorithm