• DocumentCode
    2076385
  • Title

    Energy Efficient Cluster Management Scheme for Ubiquitous Sensor Networks

  • Author

    Lim, Jaeseung ; Jeong, Eunjoo ; Kim, Kwanjoong ; Lee, Jongchan ; Mun, Youngsong ; Kim, Byunggi

  • Author_Institution
    Sch. of Comput., Soongsil Univ., Seoul
  • fYear
    2008
  • fDate
    June 30 2008-July 3 2008
  • Firstpage
    73
  • Lastpage
    83
  • Abstract
    The scheme proposed in this thesis organizes dynamically clusters at the time of events occurrence and maintains them. The other side, the existing cluster based USN (ubiquitous sensor networks) organize at the network initial time in a lump. So the existing method causes of much energy exhaustion. Therefore the scheme proposed in this thesis can be more efficient than the existing one in the aspect of the energy usage and the gathering and sending data. In order to efficiently process various events, the scheme proposed in this thesis divides a cluster when the other events occurred in the area which the cluster organized in. In another case, it merges clusters when a same event occurs in a different near cluster. Like above, the scheme of this thesis dynamically organizes clusters in the node centeredness. The simulation to evaluating the scheme shows that the scheme of this thesis increase the performance by maximumly 50% compared with the existing study.
  • Keywords
    statistical analysis; telecommunication network management; wireless sensor networks; energy efficient cluster management scheme; ubiquitous sensor network; Application software; Clustering algorithms; Computer networks; Energy efficiency; Energy management; Hardware; Pervasive computing; Routing; Sensor phenomena and characterization; Spread spectrum communication; Cluster Division; Cluster Merger; Cluster management; USN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Its Applications, 2008. ICCSA '08. International Conference on
  • Conference_Location
    Perugia
  • Print_ISBN
    978-0-7695-3243-1
  • Type

    conf

  • DOI
    10.1109/ICCSA.2008.40
  • Filename
    4561206