• DocumentCode
    1726017
  • Title

    Estimation Method of Attenuation Constant During Localization in RSSI

  • Author

    Tateishi, Kazuya ; Ikegami, Tetsushi

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Meiji Univ., Kawasaki
  • fYear
    2008
  • Firstpage
    482
  • Lastpage
    487
  • Abstract
    In wireless sensor networks, location estimation of sensor nodes is important. Therefore some location estimation methods have been proposed. Especially, in wireless sensor networks based on IEEE802.15.4, a method using received signal strength indicator (RSSI) which can be measured by each sensor node is one of the most practicable methods in the way that new hardware is not needed and it is suitable also for the miniaturization. However this technique has a weak point that it needs to investigate the propagation environment of the sensor field to estimate the location of sensor nodes in advance. This paper proposes the method that the decision of the parameter of the propagation environment using only measurements obtained during localization without investigating prior. Evaluation of this method is shown by simulation that it is able to decide the propagation parameter of an extent that doesn´t influence the location estimation accuracy without investigating the propagation environment of the sensor field.
  • Keywords
    electromagnetic wave propagation; estimation theory; personal area networks; wireless sensor networks; IEEE802.15.4; RSSI localization; attenuation constant; location estimation methods; propagation environment; propagation parameter; received signal strength indicator; sensor field; sensor nodes; wireless sensor networks; Attenuation; Bioinformatics; Biosensors; Educational institutions; Electronic mail; Hardware; Power measurement; Proposals; Time measurement; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2008. ISCIT 2008. International Symposium on
  • Conference_Location
    Lao
  • Print_ISBN
    978-1-4244-2335-4
  • Electronic_ISBN
    978-1-4244-2336-1
  • Type

    conf

  • DOI
    10.1109/ISCIT.2008.4700239
  • Filename
    4700239