• DocumentCode
    2039687
  • Title

    Lifetime Enhancement in WSNs using Balanced Sensor Allocation to Cluster Heads

  • Author

    Moghaddam, Nadieh M. ; Zahmati, Amir Sepasi ; Abolhassani, Bahman

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    A wireless sensor network (WSN) consists of a large number of small sensors with limited energy. Prolonged network lifetime, scalability, and load balancing are important requirements for many WSN applications. Clustering sensor nodes is an effective technique for achieving these goals. In this work, we propose a new energy-efficient approach for clustering nodes in WSNs. Based on this approach, we propose a two phase algorithm; in its first phase, cluster heads are selected according to the Sebestyen algorithm. In the second phase, nodes are allocated to the cluster heads so balanced from number of membership view. Two criteria are considered in this allocation. The first criterion is the Euclidean distance between nodes and cluster heads, and the second one is the node degree. The simulation results demonstrate that our proposed algorithm enhances the WSN lifetime significantly in comparison to the weight-based clustering protocols and original Sebestyen algorithm.
  • Keywords
    sensor fusion; wireless sensor networks; Euclidean distance; Sebestyen algorithm; WSN; balanced sensor allocation; cluster head; lifetime enhancement; sensor node clustering; two phase algorithm; wireless sensor network; Batteries; Chemical sensors; Clustering algorithms; Costs; Energy efficiency; Scalability; Sensor phenomena and characterization; Sensor systems; Signal processing algorithms; Wireless sensor networks; Clustering Methods; Energy efficiency; Network lifetime; Sebestyen algorithm; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728265
  • Filename
    4728265