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The main difficulty of data aggregation algorithm design in the Internet of things is the discovery and elimination of redundant data, and the discovery of data characteristics need to be careful. The improvement of communication efficiency in data aggregation is usually required to be more skillful than the encoding technique, and the design of sophisticated algorithm. So the high efficiency of coding algorithm for data aggregation in Internet of Things is of great importance for energy cost in data aggregation. In current researches, the integrated coding method for data aggregation has not been explored thoroughly. Firstly, the problem is modeled, and the concept of data smoothing is proposed, and the data smoothing generic will significantly improve the communication efficiency. On this basis, The paper proposes a data context-aware coding scheme for data aggregation. It includes coding method before data aggregation, CRT-based data coding preparation method, multiple data aggregation transformation that can be aggregative. The methods are justified by rigorous theoretic analysis, which proves its applicability.