• DocumentCode
    2901888
  • Title

    A Method for Searching the Centroid of a 3D Cluster Based on RSSI

  • Author

    Weike, Chen ; Heng, Shou ; Wenfeng, Li

  • Author_Institution
    Sch. of Mech. Eng., Hunan Univ. of Tech., Zhuzhou, China
  • fYear
    2011
  • fDate
    16-18 Nov. 2011
  • Firstpage
    1652
  • Lastpage
    1656
  • Abstract
    In this paper, we developed an algorithm, TCCSA (Three-dimension Cluster Centroid Searching Algorithm) based on RSSI (received signal strength indicator). A theorem was suggested and rigorous mathematical proof was given. TCCSA finds the node which is nearest to the centroid of a cluster by using the theorem to reveal hidden information while nodes in a cluster communicate with each other. In the simulation, the relationship between the location error of TCCSA and the density of nodes, Gaussian random variable which is the disturbance from environment are been studied. TCCSA can be applied to modifying the clustering of wireless sensor networks and the shape control of robot team.
  • Keywords
    Gaussian processes; pattern clustering; search problems; wireless sensor networks; 3D cluster centroid searching algorithm; Gaussian random variable; RSSI; TCCSA; received signal strength indicator; three-dimension cluster centroid searching algorithm; wireless sensor networks; Clustering algorithms; Educational institutions; Random variables; Robot sensing systems; Routing; Wireless sensor networks; Cluster; RSSI; Wireless Sensor Networks; centroid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4577-2135-9
  • Type

    conf

  • DOI
    10.1109/TrustCom.2011.229
  • Filename
    6121025