Due to its limited resources such as energy supply and transmission capacity

wireless sensor networks cannot adapt to the transmission of a large number of datas.Therefore

it is necessary for raw datas to perform in-network compression or aggregation.A data aggregation algorithm based on virtual grids is proposed for the purpose of data compressing by making full use of the spatial and temporal correlation.The algorithm constructs arrays of data acquisition based on virtual grids

and removes spatial and temporal redundancy through temporal difference and 2D-DCT.Simulation experiment and theoretical analysis show that the proposed algorithm has good compression performance

and effectively reduced energy consumption and extend network lifetime.