• DocumentCode
    3113769
  • Title

    Allocation of Sensor Nodes Or Base Stations in Inhomogeneous Propagation Environments

  • Author

    Jun-Hyuck Lee ; Takematsu, Masafumi ; Uchida, Kazunori ; Honda, Junichi

  • Author_Institution
    Dept. of Commun. & Inf. Eng., Fukuoka Inst. of Technol., Fukuoka, Japan
  • fYear
    2013
  • fDate
    3-5 July 2013
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    In this paper, we discuss the computational method for allocating sensing nodes for sensor networks or base stations for cellular networks in inhomogeneous propagation environments. First, we consider the 1-ray model combined with the 2-ray model using the amplitude modification factor ∝ and the propagation order of distance β as well as the field matching factor γ. Second, we introduce an expression to compute communication distance. Third, we apply PSO to optimally allocate sensor nodes or base stations by use of the communication distance function derived from the communication distance. In numerical examples, we show an adaptive algorithm for generating inhomogeneous triangular cells to achieve optimal allocations of base stations.
  • Keywords
    cellular radio; particle swarm optimisation; radiowave propagation; wireless sensor networks; 1-ray propagation model; 2-ray propagation model; PSO; adaptive algorithm; amplitude modification factor ∝ model; cellular networks; communication distance function; distance β propagation order model; field matching factor γ model; inhomogeneous propagation environments; inhomogeneous triangular cell generation; optimal base station allocation; optimal sensor node allocation; particle swarm optimization; wireless sensor networks; Base stations; Cities and towns; Mathematical model; Nonhomogeneous media; Receiving antennas; Vectors; 1-Ray Model; Communication Distance; Inhomogeneous Cells; PSO; Propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-4992-7
  • Type

    conf

  • DOI
    10.1109/CISIS.2013.21
  • Filename
    6603868