• DocumentCode
    2008374
  • Title

    A double heads static cluster algorithm for wireless sensor networks

  • Author

    Yi, Xiao ; Deng, Lu

  • Author_Institution
    Res. Inst. of Inf. Fusion, Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    Since sensor nodes are generally deployed in surveillance areas by airplane and cannonball, node´s position is affected by many factors, which leads to unevenly distribution. Maybe nodes in some areas are very thick, while nodes in other areas are very thin. Unevenly distribution phenomenon brings many disadvantages in network management, such as unbalanced energy dissipation between nodes, nodes premature death and network lifetime short. To solve those disadvantages, a double heads static cluster (DHSC) algorithm is presented, in which nodes density area is central at each cluster. Cluster is static after formulation. In additional, two cluster heads, a main cluster head which is selected in thick and an assistant cluster head which is selected in thin area, are used to reduce single cluster head´s energy dissipation load. The main cluster head collects and fuses data inner-cluster, and the assistant cluster head routes data inter-cluster. Simulation result in MATLAB shows that DHSC achieves improvement on network lifetime.
  • Keywords
    sensor fusion; wireless sensor networks; MATLAB; data fusion; double heads static cluster algorithm; energy dissipation load reduction; network lifetime; wireless sensor networks; Atmospheric modeling; Clustering algorithms; Energy dissipation; Network topology; Steady-state; Topology; Wireless sensor networks; Assistant Cluster Head; Double Cluster Heads; Main Cluster Head; Network Lifetime; Static Cluster; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568343
  • Filename
    5568343