• DocumentCode
    2876787
  • Title

    A Domain-Specific Dynamically Reconfigurable Hardware Platform for Wireless Sensor Networks

  • Author

    Hinkelmann, Heiko ; Zipf, Peter ; Glesner, Manfred

  • Author_Institution
    Tech. Univ. Darmstadt, Darmstadt
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    In this paper, a new generic sensor node platform for wireless sensor networks (WSN) is presented, demonstrating that high energy efficiency, flexibility and performance can be achieved by the use of dynamically reconfigurable hardware in the WSN domain. The core of the presented platform is formed by the combination of a RISC processor and a dynamically reconfigurable function unit optimized for efficient data processing in WSN applications. A novel reconfiguration mechanism is applied enabling rapid dynamic reconfiguration with very short latencies. Thereby, we can show that the overhead on performance and energy consumption caused by dynamic reconfiguration can be reduced to a moderate, non-critical value and is clearly outweighed by the significantly improved performance and energy consumption for data processing on the reconfigurable function unit. The evaluation of the platform and its comparison to a standard processor-based platform finally demonstrate high gains in energy-efficiency of one to two orders of magnitude.
  • Keywords
    microprocessor chips; reduced instruction set computing; wireless sensor networks; RISC processor; data processing; domain-specific dynamically reconfigurable hardware; generic sensor node platform; reconfigurable function unit; wireless sensor networks; Costs; Cryptography; Data processing; Energy consumption; Energy efficiency; Hardware; Intelligent sensors; Microelectronics; Runtime; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Technology, 2007. ICFPT 2007. International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4244-1472-7
  • Electronic_ISBN
    978-1-4244-1472-7
  • Type

    conf

  • DOI
    10.1109/FPT.2007.4439274
  • Filename
    4439274