• DocumentCode
    2458705
  • Title

    Routing Algorithm of Uneven Clusters Based on Divided Virtual Region

  • Author

    Guo, Zhengwei ; Min, Lin ; Wang, Qingzheng

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Henan Univ., Kaifeng, China
  • Volume
    3
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    Because there are two problems which are on the basis of cluster routing protocol which with multi-hop in the wireless sensor network, one is ¿hot spot¿, the other is the replacement mechanism of cluster head. This paper proposes a routing algorithm of uneven clusters based on divided virtual region. Of course the clustered routing mechanisms have been studied extensively in the literature. The main idea of this algorithm is that the task of dividing cluster is handed over to the sink node which is unlimited energy completed, making the size of inner cluster smaller than the outer cluster. The task of cluster head is finished by main and assistant cluster head in this cluster. The ARMA prediction model is applied into the main cluster head nodes, which avoids the main cluster head death because of energy depletion. The results of simulations in NS2.27 show that the new mechanism has prolonged the lifetime of WSN compared with traditional mechanism.
  • Keywords
    autoregressive moving average processes; routing protocols; wireless sensor networks; ARMA prediction model; cluster routing protocol; divided virtual region; routing algorithm; uneven clusters; Clustering algorithms; Computer networks; Educational institutions; Energy consumption; Predictive models; Routing protocols; Sensor systems; Spread spectrum communication; Wireless communication; Wireless sensor networks; Wireless sensor network; main and assistant cluster head; routing algorithm; uneven cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing (CMC), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-6327-5
  • Electronic_ISBN
    978-1-4244-6328-2
  • Type

    conf

  • DOI
    10.1109/CMC.2010.145
  • Filename
    5471586