• DocumentCode
    3600969
  • Title

    Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm

  • Author

    Elhoseny, Mohamed ; Xiaohui Yuan ; Zhengtao Yu ; Cunli Mao ; El-Minir, Hamdy K. ; Riad, Alaa Mohamed

  • Author_Institution
    Dept. of Inf. Syst., Mansoura Univ., Mansoura, Egypt
  • Volume
    19
  • Issue
    12
  • fYear
    2015
  • Firstpage
    2194
  • Lastpage
    2197
  • Abstract
    In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc. greatly influence the network lifespan. Despite the success of various clustering strategies of WSN, the numerous possible sensor clusters make searching for an optimal network structure an open challenge. In this paper, we propose a Genetic Algorithm based method that optimizes heterogeneous sensor node clustering. Compared with five state-of-the-art methods, our proposed method greatly extends the network life, and the average improvement with respect to the second best performance based on the first-node-die and the last-node-die is 33.8% and 13%, respectively. The balanced energy consumption greatly improves the network life and allows the sensor energy to deplete evenly. The computational efficiency of our method is comparable to the others and the overall average time across all experiments is 0.6 seconds with a standard deviation of 0.06.
  • Keywords
    energy consumption; genetic algorithms; telecommunication power management; wireless sensor networks; WSN; balanced energy consumption; first-node-die; genetic algorithm based method; heterogeneous sensor node clustering; heterogeneous wireless sensor network; last-node-die; network lifespan; time 0.6 s; Biological cells; Data processing; Energy consumption; Genetic algorithms; Protocols; Standards; Wireless sensor networks; Clustering Methods; Energy Conservation; Genetic Algorithms; Wireless Sensor Networks; Wireless sensor networks; clustering methods; energy conservation; genetic algorithms;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2381226
  • Filename
    6985574