Research of Compressed Sensing Theory in WSN Data Fusion

Data fusion is an important technology in WSN, But with the expansion of the scope object sensor and complexity increase, the fusion function is more and more complex, Energy consumption of the fusion operation is required more and more. Therefore, the energy consumption of the data fusion and the data transmission has been can't ignored already. Using the compressive sensing theory in the WSN data fusion, It's using auto-adapted data fusion algorithm. Collect and fusion the correlation node sensation data in the route process, To keep the total cost of the transmission and integration of energy close to the minimum.