For estimating the missing data of wireless sensor networks, an estimation algorithmcalled HD method, which can make use of sensoring space-time correlation of the data, wasproposed based on mathematical Hermite and DESM statistical models. The algorithm not only canadaptively adjust the time and space weights, but also can accurately estimate the missing orunavailable data. The experimental results show that the algorithm has good stability and relativelyhigh estimation accuracy.
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