关键词: 无线传感器网络, 空间相关性, 数据融合, DCT变换

Abstract: The presence of spatial correlation in in-cluster data has been exploited to minimize communication costs（and hence，energy costs） incurred during data gathering in a sensor network.Using source coding scheme to compress the correlated information that observed by multiple sensors，quantize the correlated observations independently，and transmit independent bits to a central processor，which is responsible for reconstructing the physical environment with the smallest distortion possible.This paper proposes a DCT-based In-cluster Data Aggregation Scheme（DIDAS），in which the data aggregation makes use of the characteristic of discrete cosine transform.Simulation results show that the proposed scheme performs well in compression scale and distortion degree.

Key words: wireless sensor network, spatial correlation, data aggregation, DCT