• DocumentCode
    2605742
  • Title

    A Sensor Network Topology Controlling Algorithm with Balancing Energy Consumption

  • Author

    Wu, Guomin ; Xu, Xiufang ; Xu, Sen ; Wan, Xiaoxia

  • Author_Institution
    Sch. of Inf. Eng., Yancheng Inst. of Technol., Yancheng, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    208
  • Lastpage
    210
  • Abstract
    Geographical adaptive fidelity (GAF) algorithm is analyzed theoretically to point out some reasons for node energy dissipation imbalance. This paper presents some corresponding solutions. Node residual energy is taken as one of factors to elect cluster head, in case that some nodes with low energy will be dead soon for being cluster head. Data communication is done by means of single-hop or multi-hop. So some cluster heads get less chance to consume energy soon, which is far away with sink node. Simulation results show that improved geographical adaptive fidelity (IGAF) algorithm can improve energy consumption balance and prolong network lifetime, compared with exiting GAF related algorithms.
  • Keywords
    energy consumption; statistical analysis; telecommunication network routing; telecommunication network topology; wireless sensor networks; IGAF algorithm; cluster head; data communication; energy consumption balance; improved geographical adaptive fidelity; network lifetime; node energy dissipation imbalance; node residual energy; sensor network topology control algorithm; Algorithm design and analysis; Clustering algorithms; Data communication; Energy dissipation; Network topology; Nominations and elections; Topology; cluster election; geographical adaptive fidelity; network life; sensor Network; topology control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4673-1683-5
  • Type

    conf

  • DOI
    10.1109/ICICSE.2012.32
  • Filename
    6239750