Novel Data Fusion Scheme of WBAN for Medical Monitoring

Novel Data Fusion Scheme of WBAN for Medical Monitoring

The aging of the global population and increasing incidence of chronic diseases have exacerbated social problems such as the shortage of medical resources and increased medical costs. There is a growing interest in medical monitoring services based on wireless body area network (WBAN). In WBAN, due to limitations on processing capacity, battery, and storage capacity of the sensors, it is difficult to guarantee the low-latency, highreliability requirements, and better user experience of medical monitoring services. Therefore, a novel data fusion method of WBAN for medical monitoring services is proposed in this study. According to the redundancy and complementarity of WBAN data collection in time or space, the proposed method realizes the fusion of single source and multisource data in time and space, which obtains a consistent interpretation and description of the measured object, as well as more effective collection results than a single sensor. Furthermore, to meet the requirements of real-time of medical monitoring services, a hierarchical data fusion model based on edge computing is proposed. In this model, to realize the load balance of the entire system and maximize system utility, different types of data fusion tasks are scheduled for execution on the sensor, sink node, or edge node. The simulation results show that the proposed method effectively improves the accuracy and reliability of WBAN data collection when the algorithm execution time is acceptable and meets the real-time requirements of medical monitoring services.