• DocumentCode
    3145629
  • Title

    Techniques for minimizing power consumption in low data-rate wireless sensor networks

  • Author

    Rhee, Sokwoo ; Seetharam, Deva ; Liu, Sheng

  • Author_Institution
    Millennial Net, Cambridge, MA, USA
  • Volume
    3
  • fYear
    2004
  • fDate
    21-25 March 2004
  • Firstpage
    1727
  • Abstract
    Wireless sensor networks can enable numerous embedded computing applications. One of the primary benefits of wireless sensor networks is their independence from the wiring costs and constraints. However, if the batteries must be replaced often (every week or every month), not only will the initial cost savings be lost, but also many remote sensing applications may become impractical. Therefore, long battery life (in the order of years) is essential; power efficiency is a critical requirement for wireless sensor networks. We have devised several novel techniques for minimizing power consumption in wireless sensor networks. Based on these techniques, we have developed a highly power-efficient sensor networking platform called the i-Bean Network. In this paper, we describe these techniques in detail and the associated tradeoffs.
  • Keywords
    minimisation; power consumption; wireless sensor networks; data-rate wireless sensor networks; embedded computing applications; i-Bean network; power consumption minimisation; power efficiency; power sensor networking platform; Batteries; Costs; Energy consumption; Intelligent networks; Remote sensing; Sampling methods; Sensor systems and applications; Temperature sensors; Wireless sensor networks; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-8344-3
  • Type

    conf

  • DOI
    10.1109/WCNC.2004.1311813
  • Filename
    1311813