Cloud Bayesian Network Based Data Processing in Battlefield Sensor Networks

摘要

The application of battlefield sensor networks needs a simple but efficient method to fuse the data and information from multi-sources and generate a cognitive result for commanders. However, it is still a challenge to convert the sensor data into fuzzy concepts so that people can understand easily. In this paper we present a new data processing model named Cloud Bayesian Network (CBN), which is inspired by fuzzy Bayesian Network but has more advantages. Based on CBN, we illustrate some important techniques in this algorithm and apply the model to a case study for data processing in battlefield sensor networks. Finally, we evaluate the performance of proposed model by comparing it with other models and verify its effectiveness.