• DocumentCode
    2141148
  • Title

    Energy-efficient uniform clustering algorithm for wireless sensor networks

  • Author

    Guo, Zhongwen ; Dou, Jinfeng ; Wang, Peng ; Zhang, Guangxu

  • Author_Institution
    Dept. of Comput. Sci., Ocean Univ. of China, Qingdao
  • fYear
    2008
  • fDate
    15-17 May 2008
  • Firstpage
    257
  • Lastpage
    262
  • Abstract
    The efficient subdivision of a sensor network into uniform clusters of physically close nodes is an important building block in the design of efficient upper layer network functions such as routing, broadcast, data aggregation, and query processing. This paper analyzes a low energy adaptive clustering hierarchy (LEACH) in terms of the optimum number of clusters and demonstrates through simulation that the optimum number calculated are not suitable for sensor networks including large number of nodes or covering large area. Based on the analysis results, we give a new formula of calculating the optimum number of clusters on an improved data gathering model. To decrease the energy dissipation further, we develop a new efficient uniform clustering algorithm in ad-hoc sensor networks. Simulation results show that it achieves fairly uniform cluster-head distribution across the network.
  • Keywords
    ad hoc networks; pattern clustering; telecommunication network topology; wireless sensor networks; ad-hoc sensor networks; data gathering model; energy-efficient uniform clustering algorithm; low energy adaptive clustering hierarchy; wireless sensor networks; Analytical models; Clustering algorithms; Energy consumption; Energy dissipation; Energy efficiency; Routing protocols; Sensor systems; Signal processing algorithms; Wireless communication; Wireless sensor networks; clustering algorithm; energy efficiency; network lifetime; sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Switching and Routing, 2008. HSPR 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1981-4
  • Electronic_ISBN
    978-1-4244-1982-1
  • Type

    conf

  • DOI
    10.1109/HSPR.2008.4734453
  • Filename
    4734453