This paper proposes an approximate aggregation algorithm based on Bernoulli sampling to satisfy the requirement of arbitrary precision in wireless sensor networks (WSN). Besides, two sample data adaptive algorithms are also provided. One is to adapt the sample to the varying precision requirement. The other is to adapt the sample to the varying sensed data in networks. Theoretical analysis and experimental results show that the proposed algorithms have good performance in terms of accuracy and energy cost.