One-bit distributed sensing and coding for field estimation in sensor networks

A general distributed field reconstruction problem is studied by using a dense network of noisy one-bit randomized scalar quantizers in the presence of additive observation noise of unknown distribution. A general condition is derived for the optimization of the rate of decay of the mean squared error (MSE) upper-bound with sensor density.