• DocumentCode
    2046602
  • Title

    etop-Sensor Network Application Energy Profiling on the LEAP2 Platform

  • Author

    McIntire, Dustin ; Stathopoulos, Thanos ; Kaiser, William

  • Author_Institution
    Univ. of California, Los Angeles
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    576
  • Lastpage
    577
  • Abstract
    A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, low power energy aware Processing (LEAP), has been developed. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. The LEAP2 platform is a second generation LEAP system with even higher resolution energy monitoring as well as the unique ability to do per process and per application energy profiling via a dedicated high performance ASIC. Our demonstration will highlight this profiling capability through a custom monitoring application named etop.
  • Keywords
    computerised monitoring; intelligent sensors; power aware computing; wireless sensor networks; LEAP2 platform; critical environmental monitoring application; embedded computing; embedded networked sensor systems; embedded wireless networked sensor; energy profiling; energy-aware multiprocessor; etop; low power energy aware processing; multiprocessor node hardware; power aware applications; power control scheduling; profiling capability; sensor network application energy profiling; Bandwidth; Computer architecture; Embedded computing; Energy dissipation; Hardware; High performance computing; Monitoring; Sensor systems and applications; Signal processing; Software architecture; Algorithms; Design; Embedded wireless networked sensor; Experimentation; Management; Measurement; Performance; Reliability; energy profiling; energy-aware multiprocessor platform; power aware applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-59593-638-7
  • Type

    conf

  • DOI
    10.1109/IPSN.2007.4379734
  • Filename
    4379734