• DocumentCode
    3055256
  • Title

    Analysis of Field Distribution and Density of Sensor Node

  • Author

    Honda, Junichi ; Uchida, Kazunori

  • Author_Institution
    Dept. Commun. & Inf. Technol., Fukuoka Inst. of Technol., Fukuoka, Japan
  • fYear
    2011
  • fDate
    Nov. 30 2011-Dec. 2 2011
  • Firstpage
    122
  • Lastpage
    129
  • Abstract
    This paper is concerned with an analysis of field distribution caused by sensor nodes. First, we introduce 1-ray and 2-rays models with two modification factors to estimate the field distribution in complicated natural environments. One of the two factors is an amplitude modification (α) and the other is an distance order of propagation (β). By using the two factors, we can calculate field distributions in complicated fields such as random rough surface. Next we propose a algorithm for radio communication distance based on the 1-ray and 2-rays models. In the numerical examples, we show the field distribution caused by sensor nodes, using 1-ray and 2-rays models. Finally, we discuss how many sensor nodes are needed to cover the field area in order to construct sensor networks.
  • Keywords
    radiocommunication; ray tracing; rough surfaces; 1-ray models; 2-rays models; amplitude modification; complicated natural environments; field distribution; modification factors; propagation distance order; radio communication distance; random rough surface; sensor network construction; sensor node density; Artificial intelligence; Collaboration; Receivers; Reflection; Silicon; 1-ray model; 2-rays model; amplitude modification; communication distance; density of sensor node; distance order of propagation; field distribution; modification factor; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4577-1908-0
  • Type

    conf

  • DOI
    10.1109/INCoS.2011.55
  • Filename
    6132788