• DocumentCode
    2729400
  • Title

    Wireless sensor nodes localization based on multiple range data fusion

  • Author

    Yamada, Shintaro ; Takayama, Jun-ya ; Ohyama, Shinji

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Tokyo
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    207
  • Lastpage
    210
  • Abstract
    Improvement of localization technique for wireless sensor nodes is an important challenge to realize free applications of wireless sensor networks. Effective utilization of range data is necessary because constraints on their hardware resources are very hard and specific on their situations. Utilization of wireless connection strengths (WCS) is efficient strategy; however, localization performances of conventional methods using a WCS are not stable because the amount of range data varies depending on network topology and the methods can use only ldquosinglerdquo WCS. In this paper, two types of range data fusions are proposed to advance the effective utilization of range data. In the first, ldquomultiplerdquo WCS are utilized by the range-inequality-based localization method to allow a localization on free network topology. In the second, both known ranges and range inequalities are utilized to allow free node design suited for each situation.
  • Keywords
    sensor fusion; telecommunication network topology; wireless sensor networks; free network topology; multiple range data fusion; range-inequality-based localization method; wireless connection strengths; wireless sensor network; wireless sensor nodes localization; Data engineering; Hardware; Multidimensional systems; Network topology; Sensor fusion; Stress; Transceivers; Visualization; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems, 2008. INSS 2008. 5th International Conference on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    978-4-907764-31-9
  • Type

    conf

  • DOI
    10.1109/INSS.2008.4610887
  • Filename
    4610887