• DocumentCode
    3245605
  • Title

    Separation Theorems And Partial Orderings For Sensor Network Problems

  • Author

    Gastpar, Michael

  • Author_Institution
    Univ. of California, Berkeley
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    374
  • Lastpage
    375
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487233
  • Filename
    4487233