• DocumentCode
    2992027
  • Title

    An Improved Uneven Clustering Routing Algorithm for Sensor Networks

  • Author

    He, Yonggang ; Xu, Tingrong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In the large-scale deployment of wireless sensor networks, when cluster-heads of the routing algorithm based on clustering transmit their data to sink via multi-top communication, the cluster-heads closer to sink are burdened with heavy relay traffic and tend to die early, causing energy holes that affect the normal operation of the network. It shortens the lifetime of network. To solve the problem of energy holes, an improved routing algorithm based on uneven clustering (RAUC) is proposed. Cluster-heads are elected based on the ratio between the average residual energy of neighbor nodes and itself residual energy, the intra-cluster communication cost, forming clusters of different sizes. The inter-cluster routing is based on the forwarding capacity of nodes. The simulation shows that, compared with LEACH and EEUC, the routing algorithm performs better at load balancing, reduces the energy consumption of nodes, effectively improves the lifetime of the network.
  • Keywords
    telecommunication network routing; wireless sensor networks; EEUC; LEACH; average residual energy; energy consumption; energy holes; intra-cluster communication cost; load balancing; multi-top communication; neighbor nodes; nodes capacity; relay traffic; uneven clustering routing algorithm; wireless sensor networks; Clustering algorithms; Communications technology; Computer science; Costs; Energy consumption; Load management; Monitoring; Routing; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374819
  • Filename
    5374819