Spatial Correlation in Wireless Sensor Networks
Xin Jun Xu, Wei Wang · 2010
This paper studies the spatial correlation in the sensing data gathered by densely deployed sensors. We first show that the joint entropy of a cluster of sensor nodes can be calculated through the covariance matrix of their readings when they are gaussian distributed. Then, two kinds of correlation patterns in the physical world are studied, and we show these two patterns have fundamental different impacts on joint entropy.