Title :
Separation Theorems And Partial Orderings For Sensor Network Problems
Author :
Gastpar, Michael
Author_Institution :
Univ. of California, Berkeley
Abstract :
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 (1948) 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.
Keywords :
delays; wireless channels; wireless sensor networks; delay constraints; ergodic communication; noisy communication channel; partial orderings; point-to-point communication; sensor network problems; separation theorems; source/channel separation theorem; stationary communication; Capacitive sensors; Communication channels; Communication networks; Constraint theory; Noise figure; Optimized production technology; Rate-distortion; Sensor phenomena and characterization; Shape; Wireless sensor networks;
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2007.4487233