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.
network delay multisensorsystem linear unbiased estimate optimal predictive weighted fusion
Zhu Fengchun
School of Information, Linyi Normal University, Linyi, Shandong, 276005, China
国际会议
长沙
英文
821-824
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）