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By rapid advances in the development of electronic components and with declining cost of sensor network deployment, we are witnessing the amazing growth of these networks. The energy consumption constraints have imposed the importance and necessity of new concepts such as data aggregation. In this paper, a new method is proposed for aggregating the data received from the mobile point source in a sensor network. In this method called DAMORD (Data Aggregation for Mobile Object using Rate-Distortion), by using RD theory and considering spatial and temporal correlation, we can reduce the load of data transmitted to base station with considering the maximum distortion that can be tolerated by the user. To the best of our knowledge, nobody has yet used the RD theory for the data aggregation of mobile object in the sensor networks. A mathematical model followed by detailed model verification demonstrated the efficiency of the proposed method under different conditions.