Infoscience

Conference paper

Separation theorems and partial orderings for sensor network problems

In the absence of complexity and delay constraints, the quality of a noisy communication channel can be characterized by a single number, called its capacity and usually measured in bits. Shannon [1] showed that this number is universal in the sense that via the so-called source/channel separation theorem, it applies to all (stationary, ergodic) communication problems, making bits the universal currency of information in point-to-point communication. More explicitly,

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