We propose a Topology Aware Data Aggregation (TADA) method to address the problems of energy consumption and reconstruction errors in the data aggregation of a wireless sensor network. Firstly, a data stream including network initialization, data framing, and data preprocessing is constructed to form the communication process of the wireless sensor network. Secondly, a measurement matrix is built to decompose the data into multiple paths for forwarding and then the vector allocation of the whole network is carried out. Finally, a data aggregation algorithm based on a balanced minimum spanning tree is proposed. Experiments show that the proposed method is lower than other compressed sensing methods in the energy consumption of data aggregation and the error rate of data reconstruction.