• DocumentCode
    2048312
  • Title

    Modified Hilbert Space-Filling Curve for Ellipsoidal Coverage in Wireless Ad Hoc Sensor Networks

  • Author

    Kamat, Maznah ; Ismail, Abdul Samad ; Olariu, Stephan

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    1407
  • Lastpage
    1410
  • Abstract
    Sensor nodes are deployed to sense an environment for observing the physical world. The sensing field (an area of interest) can be represented as an ellipse. This paper proposes an algorithm for covering an elliptical shaped area of interest within wireless sensor network fields by modifying the Hilbert-space filling curve. Conventionally, an area is partitioned into 2n times 2n square grid (Hilbert cells). Hilbert space-filling curve is modified to map only specific area of interest. To cover the entire area of interest, the algorithm requires a mobility pattern for a sink node in order to collect data for a specific mission. This is done by traversing the area from an entry point and finishing at an exit point from the square grids. Simulation results show that modified Hilbert space-filling curve achieves its best Hilbert-covering for an ellipse that is almost circular as opposed to a narrow ellipse.
  • Keywords
    Hilbert spaces; Hilbert transforms; ad hoc networks; wireless sensor networks; Hilbert algorithm; mobility pattern algorithm; modified Hilbert space-filling curve; network ellipsoidal coverage; wireless ad hoc sensor networks; Application software; Base stations; Hilbert space; Intelligent networks; Partitioning algorithms; Relays; Sensor systems; Signal processing; Signal processing algorithms; Wireless sensor networks; Area covering; mobile base station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728592
  • Filename
    4728592