The Internet of Things (IoT) has ushered in a new era of connectivity, allowing a multitude of devices to communicate and share data. However, the vast and diverse nature of IoT data sources poses significant challenges in terms of data accuracy and consistency. Data fusion and management have emerged as critical components in addressing these challenges, ensuring that the information collected from IoT devices is reliable and useful. In this technical article, we delve into key aspects of data fusion and management in the context of IoT, including multi-sensor data fusion, resource utilization frameworks, fusion algorithms, and enterprise applications.
Multi-Sensor Data Fusion
Multi-sensor data fusion is a fundamental technique for enhancing the richness of information collected from IoT devices. It involves the integration of data from multiple sensors that monitor the same target or phenomenon. The objective is to analyze and synthesize the data to produce a more comprehensive and accurate understanding of the target.