An Intelligent Data Fusion Algorithm with Fusion Benefit Pattern Tree for Wireless Sensor Networks

The small size of the wireless sensor networks makes it easy to apply in various applications. However, the small transmission capability limits the applications to different domains. How to fuse the transmitted data to increase the effective transmission of wireless sensor networks is an important issue. This work designs an intelligent data fusion algorithm with fusion benefit pattern tree for wireless sensor networks. the algorithm computes the fusion benefit from past transmission paths. Then, it discovers the association among past transmission patterns according to the fusion benefits to construct an appropriate fusion benefit pattern tree. the topology of fusion benefit pattern tree is taken as a data aggregation tree for data fusion. the experiential results show that the topology can provide higher transmission dataflow.