• DocumentCode
    625360
  • Title

    Coordinates Determination of Submerged Sensors Using Cayley-Menger Determinant

  • Author

    Rahman, Aminur ; Muthukkumarasamy, Vallipuram ; Sithirasenan, E.

  • Author_Institution
    Sch. of Inf. & Commun. Technol., Griffith Univ., Gold Coast, QLD, Australia
  • fYear
    2013
  • fDate
    20-23 May 2013
  • Firstpage
    466
  • Lastpage
    471
  • Abstract
    This paper investigates the problem of localizing submerged sensors and provides a new mechanism to determine the coordinates of those sensors using only one beacon node. In underwater wireless sensor networks (UWSN), precise coordinate of the sensors that actuate or collect data is vital, as data without the knowledge of its actual origin has limited value. Mostly, multi-lateration technique is used to determine the location of the sensors with respect to three or more known beacon nodes where distance between them is measured considering the roundtrip time of acoustic signal. However, this method of measuring distances gives erroneous results due to a number of factors, including relative angular stand of the nodes. In this study, a new method of determining the underwater distances between beacon and sensor nodes has been presented using combined radio and acoustic signals, which has better immunity from multipath fading. Moreover, Cayley-Menger determinant is used to determine the coordinates of the nodes where none of nodes have a priori knowledge about its location. Simulation results validate the proposed mathematical models by computing coordinates of sensor nodes with negligible errors.
  • Keywords
    distance measurement; underwater acoustic communication; wireless sensor networks; Cayley-Menger determinant; UWSN; acoustic signal roundtrip time; beacon nodes; data actuation; data collection; distance measurement; multilateration technique; multipath fading; node relative angular stand; radio signals; sensor nodes; submerged sensor coordinates determination; underwater wireless sensor networks; Acoustic measurements; Acoustics; Distance measurement; Equations; Mathematical model; Sea measurements; Wireless sensor networks; Cayley-Menger determinant; linearization; localization; underwater wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-4799-0206-4
  • Type

    conf

  • DOI
    10.1109/DCOSS.2013.62
  • Filename
    6569473