• DocumentCode
    693521
  • Title

    Demo abstract - Netamorph: Field-programmable analog arrays for energy-efficient sensor networks

  • Author

    Rumberg, Brandon ; Kelly, Brandon M. ; Graham, David W. ; Kulathumani, Vinod

  • Author_Institution
    Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    309
  • Lastpage
    310
  • Abstract
    The limited power budgets of sensor networks necessitate some level of in-network pre-processing to reduce communication overhead. The low power consumption of analog signal processing (ASP) is well-suited for this task. However, the quick adoption of this technology has been restrained by the fact that ASP implementation requires a priori knowledge of the application space. Our solution to this challenge is to enable run-time reconfiguration through the use of a field-programmable analog array (FPAA). In the same way that reconfigurable digital systems allow system designers to change the infrastructure of digital blocks, an FPAA allows an application developer to change the infrastructure of, and even tune, ASP blocks without circuit-level expertise. We will demonstrate that an FPAA can be used to (1) facilitate the use of ASP to reduce power consumption, and to (2) allow run-time reconfigurability to maximize ASP impact.
  • Keywords
    CMOS analogue integrated circuits; array signal processing; field programmable analogue arrays; low-power electronics; wireless sensor networks; Netamorph; analog signal processing; energy-efficient sensor networks; field-programmable analog arrays; low power consumption; run-time reconfigurability; Field programmable analog arrays; Monitoring; Power demand; Spectral analysis; Time-frequency analysis; Wireless sensor networks; Analog Signal Processing; Energy-Efficient; Field-Programmable Analog Array; In-Network Processing; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/IPSN.2013.6917558
  • Filename
    6917558