• DocumentCode
    2955728
  • Title

    Design optimization for an 8-bit microcontroller in wireless biomédical sensors

  • Author

    Li, Yongfu ; Lian, Yong ; Perez, Valerio

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore (NUS), Singapore, Singapore
  • fYear
    2009
  • fDate
    26-28 Nov. 2009
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    This paper focuses on the design of an ultra low power 8-bit microcontroller for wireless biomedical sensors using advanced low power techniques such as Operand Isolation, Clock-Gating, Multi-Threshold Voltage and Power Gating. In addition, we have conducted a study based on the area, timing performances and power consumptions by benchmarking different low power design techniques. These statistical data allow us to have a thorough understanding of the various low power techniques. Finally, the fully implemented low power design shows that a total core power reduction of about 67.43% was achieved with a small area overhead of 0.3% compared to the original design while maintaining an operating clock frequency of 100 MHz at 900 mV supply voltage These designs are implemented using Chartered Advantage High Speed 65 nm Generic Multi-threshold Technology Libraries.
  • Keywords
    benchmark testing; biosensors; design engineering; low-power electronics; microcontrollers; wireless sensor networks; 8-bit microcontroller; advanced low power techniques; benchmarking; clock-gating; design optimization; frequency 100 MHz; multithreshold voltage; operand isolation; power gating; voltage 900 mV; wireless biomedical sensors; Biosensors; Clocks; Design optimization; Energy consumption; Frequency; Libraries; Microcontrollers; Timing; Voltage; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4917-0
  • Electronic_ISBN
    978-1-4244-4918-7
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2009.5372090
  • Filename
    5372090