• DocumentCode
    2099295
  • Title

    TelosW: Enabling ultra-low power wake-on sensor network

  • Author

    Lu, Gang ; De, Debraj ; Xu, Mingsen ; Song, Wen-Zhan ; Cao, Jiannong

  • Author_Institution
    Sensorweb Res. Lab., Washington State Univ., Pullman, WA, USA
  • fYear
    2010
  • fDate
    15-18 June 2010
  • Firstpage
    211
  • Lastpage
    218
  • Abstract
    Sensor networks are typically sensor or radio event driven. Exploiting this property we propose a novel wake-on sensor network design. In this context we have designed a new sensor platform called TelosW. The wake-on sensing capability of TelosW lets designated sensors wake up the microcontroller (MCU) only on occurrence of some event with preconfigurable threshold. TelosW also includes the CC1101 Wake-On Radio (WOR) hardware that performs low power listening without intervention of MCU. These all lead to a completely event driven wake-on sensor network that reduces energy consumption considerably. TelosW is also equipped with an on-board energy meter that can precisely measure in-situ energy consumption. Using the energy meter it is possible to get the insight of energy states of nodes in a network at any time. This makes it possible to practically analyze energy-efficient protocols. The experiments show that the energy consumption has been significantly reduced comparing to same application without wake-on design.
  • Keywords
    microcontrollers; power meters; protocols; wireless sensor networks; CC1101 wake-on radio; MCU; TelosW; energy consumption; energy-efficient protocols; in-situ energy consumption; low power listening; microcontroller; on-board energy meter; sensor platform; ultra-low power wake-on sensor network design; Accelerometers; Gallium nitride; Lead; Sensors; TelosW; energy meter; wake-on radio; wake-on sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems (INSS), 2010 Seventh International Conference on
  • Conference_Location
    Kassel
  • Print_ISBN
    978-1-4244-7911-5
  • Electronic_ISBN
    978-1-4244-7910-8
  • Type

    conf

  • DOI
    10.1109/INSS.2010.5573125
  • Filename
    5573125