in order to solve the current WSN network data encryption mechanism to realize chaotic self recursive set effective convergence, metadata poor performance, resulting in the emergence of encryption algorithm convergence performance decrease, the low degree of bottleneck phenomenon, proposes a self recursive encryption mechanism of big data chaotic optimization method based on WSN data network; first by information exchange. The waterfall flow generated by coupling optimization of network ideological chaos low based on data can greatly improve the convergence performance of adaptive chaotic self collection, reduce the data encryption in the process of resource cost; then based on the order of metadata, take differential form two integration of the convergence process, greatly improved to reduce the problem of convergence complexity of the encryption process, greatly improves the system flexibility, reduces the complexity of encryption. Simulation results show that the fusion and broadband data encryption mechanism, optimize the traditional linear terminal data error delay optimization inference (Linear terminal data error encryption mechanism delay optimal inference encryption mechanism LTED mechanism) compared to the algorithm in this paper can effectively reduce the complexity of encryption, reduce the encryption time, enhance the quality of transmission bandwidth, has significant practical deployment value.