• DocumentCode
    2797626
  • Title

    Sensor network nodes deployment based on Artificial Potential Functions

  • Author

    He, Yingjia ; YE, Shengqi ; Hu, Jianming ; Zhang, Zuo

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    4-6 June 2008
  • Firstpage
    464
  • Lastpage
    469
  • Abstract
    With the rapid development of detecting technology, sensors have been more and more applied in this area. In this paper an algorithm is proposed for sensor network nodes deployment based on artificial potential functions. First, sensor network nodes are initialized to fulfill the completeness with no regard for optimization. Then, according to a series of principles, they are adjusted to achieve the aims of guaranteeing the completeness of information for each road, the complete communication coverage and the lowest costs on the sensor devices deployment as well. In addition, with some experiments, the proposed algorithm is proved to be more suitable for a dense road network than for a sparse one. In order to improve the algorithm and solve some possible problems, some long-distance sensor nodes have been deployed in certain places and division of sensor nodes have been done to those heavy-load nodes.
  • Keywords
    sensor fusion; traffic engineering computing; artificial potential functions; dense road network; heavy-load nodes; intelligent transportation systems; long-distance sensor; sensor device deployment; sensor network nodes deployment; Communication system traffic control; Costs; Intelligent sensors; Intelligent transportation systems; Intelligent vehicles; Network topology; Roads; Sensor systems; Technology management; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2008 IEEE
  • Conference_Location
    Eindhoven
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-2568-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2008.4621173
  • Filename
    4621173