• DocumentCode
    2551622
  • Title

    An Improved Distributed Cluster Organization Algorithm of Wireless Sensor Networks

  • Author

    Zhao, Jun-feng ; Li, Jian-ping

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    Dynamic cluster organization is a hotspot research field for wireless sensor networks. A new algorithm of building and regroup clusters - improved distributed cluster organization algorithm (IDCOA) is proposed in this paper. By IDCOA, nodes are clustered via the way that some nodes propose invitations, and the other sensors respond. Member nodes in the networks save the cluster´s id, but header nodes do not have to save its member´s id. The regroup of clusters is considered also. On one hand, the exiting nodes don´t affect on the other nodes; on the other hand, the new nodes can join in the network effectively. To describe the IDCOA algorithm, six time-related parameters are defined to be used for timer control; seven message types are defined to be used for nodes communication; and ten steps are defined as the implement of the IDCOA process. The simulate result indicates that IDCOA algorithm has well performance on the clustered rate and the number of cluster headers for wireless sensor networks.
  • Keywords
    distributed algorithms; wireless sensor networks; improved distributed cluster organization algorithm; node communication; timer control; wireless sensor network; Algorithm design and analysis; Application software; Clustering algorithms; Communication system control; Computer science; Costs; Electronic mail; IP networks; Wavelet analysis; Wireless sensor networks; Distributed cluster; IDCOA; self heal; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3427-5
  • Electronic_ISBN
    978-1-4244-3426-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2008.4770035
  • Filename
    4770035