Research on Spatial-Temporal Information Fusion System for Sensor Networks Node Cluster

In order to solve general phenomena of uncertainty, unintegrity and redundancy, and receive the habitus accurately and reorganization and the decision information of the object fully in the multi-source information fusion of sensor networks node cluster. The spatial and temporal fusion must be taken into account. A novel spatial-temporal two-layer architecture model is presented. In the architecture, using D-S evidence theory and support degree, the data that is monitored by different sensor at the same time is fused first, and then using fuzzy integral, support degree and genetic algorithm, the data that is fused in space is fused in time order. It indicates by simulation that the distributed multi-source information fusion system has famous capability for target detection, resisting the environmental disturbance and fault-tolerance