• DocumentCode
    1462945
  • Title

    Dynamic power management in wireless sensor networks

  • Author

    Sinha, Amit ; Chandrakasan, Anantha

  • Author_Institution
    MIT, Cambridge, MA, USA
  • Volume
    18
  • Issue
    2
  • fYear
    2001
  • Firstpage
    62
  • Lastpage
    74
  • Abstract
    We propose an OS-directed power management technique to improve the energy efficiency of sensor nodes. Dynamic power management (DPM) is an effective tool in reducing system power consumption without significantly degrading performance. The basic idea is to shut down devices when not needed and wake them up when necessary. DPM, in general, is not a trivial problem. If the energy and performance overheads in sleep-state transition were negligible, then a simple greedy algorithm that makes the system enter the deepest sleep state when idling would be perfect. However, in reality, sleep-state transitioning has the overhead of storing processor state and turning off power. Waking up also takes a finite amount of time. Therefore, implementing the correct policy for sleep-state transitioning is critical for DPM success. It is argued that power-aware methodology uses an embedded microoperating system to reduce node energy consumption by exploiting both sleep state and active power management
  • Keywords
    algorithm theory; microsensors; radio access networks; dynamic power management; embedded microoperating system; greedy algorithm; sensor nodes; sleep-state transitioning; wireless sensor networks; Central Processing Unit; Computer network management; Energy consumption; Energy management; Frequency; Intelligent networks; Power system management; Power system modeling; Voltage control; Wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Design & Test of Computers, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7475
  • Type

    jour

  • DOI
    10.1109/54.914626
  • Filename
    914626