DIDAS:DCT-based in-cluster data aggregation scheme
Xinmeng Chen · Computer Engineering and Applications Journal · 2008
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.