Compression of Distributed Correlated Temperature Data in Sensor Networks

Summary form only given. Distributed Source Coding (DSC) is rapidly gaining popularity, and has many good applications. However, some important correlations are sometimes omitted, such as temporal correlation. In this paper, we consider the correlations of the source data both in spatial and temporal domains for DSC decoding. And this is equally to integrate a Kalman filter in our algorithm. We tested our algorithm on the practical temperature network, and the results turn out it achieved better performance than the algorithm without temporal correlation.