Asynchronous Predict Data Fusion for Sensor Networks

Because the existing fusion methods based on network delay often use the traditional synchronous fusion algorithms directly, it inevitably induces some problems, such as information delay, resource free, and bad real-time performance etc.. Aiming at above problems this paper combines the predictive estimate with the technology of sequential weighted fusion at the basis of the existing research. Accordingly, a new multisensor predictive weighted fusion method which can adapt to network-delay is proposed. The new method can not only avoid the disadvantages existing in the current data fusion method founded on network delay but also gain the better real-time predictive function. It presents the process to deduce the sequential predictive weighted method based on network-delay. Moreover, the computer simulation and theoretical analysis are used to show the practicability and advantage of the proposed fusion method.