• DocumentCode
    3236089
  • Title

    Sensor network pair-wise wireless communications performance with unsteady node orientation

  • Author

    Lintz, William A. ; McEachen, John C. ; Jenn, David C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA
  • fYear
    2009
  • fDate
    March 30 2009-April 1 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A model is proposed to describe expected communications performance between two sensor network nodes where both are unsteady in physical orientation with respect to a specified reference. Model application enables determination of transmit power in terms of a preferred link performance probability. Increasing applications of wireless sensor networks has proportionally increased fielding ideas and platforms. The stability of a platform for a sensor network node cannot always be assumed stable due to physical variation from motion or surface conditions. This creates a time-varying random orientation between nodes in communication with an adjacent partner. A stochastic model is proposed connecting the physical random orientation of a pair of elements to their transmission components. The resulting performance of a link using the proposed model is then applied to achieve reliable communications performance. Analysis demonstrates improved use of network power compared to a method which assigns a blanket power margin across the network.
  • Keywords
    stochastic processes; wireless sensor networks; blanket power margin; link performance probability; physical random orientation; sensor network pair-wise wireless communications; stochastic model; time-varying random orientation; unsteady node orientation; wireless sensor networks; Electronic mail; Performance loss; Polarization; Propagation losses; Sensor phenomena and characterization; Stochastic processes; Transmitting antennas; USA Councils; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2009. SARNOFF '09. IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-3381-0
  • Electronic_ISBN
    978-1-4244-3382-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2009.4850275
  • Filename
    4850275