• DocumentCode
    719310
  • Title

    Sampling circuits for 1D and 2D sensors for low-power purpose

  • Author

    Fesquet, Laurent ; Darwish, Amani ; Sicard, Gilles

  • Author_Institution
    TIMA, Univ. Grenoble Alpes, Grenoble, France
  • fYear
    2015
  • fDate
    25-29 May 2015
  • Firstpage
    430
  • Lastpage
    434
  • Abstract
    Sampling is becoming one of the most important topics for the Internet of Things (IoT). Indeed, the amount of data daily produced is so huge that the data processing cost will deeply affect the electricity generation in a near future. The big data is already a reality but a good way to mitigate this incredible data flow is to differently sample the information. This article presents - based on asynchronous analog-to-digital conversion - a way to limit the data flow and the power consumption for a host of sensors. By an adequate sampling technique, such as a level-crossing sampling scheme, a drastic activity and power reduction is feasible. An image sensor using 1-level crossing sampling is given as an illustration.
  • Keywords
    analogue-digital conversion; asynchronous sequential logic; image sampling; image sensors; power consumption; 1-level crossing sampling; 2D sensors; Internet of Things; IoT; asynchronous analog-to-digital conversion; big data; data flow; data processing cost; electricity generation; image sensor; level-crossing sampling scheme; power consumption; power reduction; sampling technique; Analog-digital conversion; Image sensors; Power demand; Quantization (signal); Redundancy; Sensors; Signal to noise ratio; Analog-to-Digital converters; Level Crossing Sampling Scheme; Sampling Circuits; asynchronous logic; energy; power consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sampling Theory and Applications (SampTA), 2015 International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/SAMPTA.2015.7148927
  • Filename
    7148927