For a scalar Gauss-Markov process watched by constant-gain remote estimators, scheduling the packet with the smallest age-and-precision index minimizes the expected cumulative estimation error.
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For a scalar Gauss-Markov process watched by constant-gain remote estimators, scheduling the packet with the smallest age-and-precision index minimizes the expected cumulative estimation error.