Title: Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World,
Abstract: We address the two fundamental problems of spatial field reconstruction and
sensor selection in heterogeneous sensor networks: (i) how to efficiently
perform spatial field reconstruction based on measurements obtained
simultaneously from networks with both high and low quality sensors; and (ii)
how to perform query based sensor set selection with predictive MSE performance
guarantee. For the first problem, we developed a low complexity algorithm based
on the spatial best linear unbiased estimator (S-BLUE). Next, building on the
S-BLUE, we address the second problem, and develop an efficient algorithm for
query based sensor set selection with performance guarantee. Our algorithm is
based on the Cross Entropy method which solves the combinatorial optimization
problem in an efficient manner.