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In order to reduce the amount of data and delay the network life cycle, a compound data fusion strategy based on DS evidence and compressing sensing was introduced based on the clustered protocol, then the improved DS is used to weight over the basic credit assigning function, the weight and normalized credit assign function is used to compute the support extent of evidence to proposition, using the larger value of support extent as the fusion result of DS, then using the CS and constructing the measure matrix to realize the sparse representing, and the construction for sparse signal is used in sink node. The simulation result shows the method in this paper can realize the data fusion effectively, and compared with the other methods, it has less construction error and long life cycle, so it has big priority.