• DocumentCode
    3777423
  • Title

    Firefly-inspired stochastic coupled synchronicity strategy with simplified discrete phase model in WSN

  • Author

    Chuangbo Hao; Ping Song; Jiangpeng Wu; Xinghe Yao

  • Author_Institution
    Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, BIT, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    1058
  • Lastpage
    1062
  • Abstract
    With the rapid development of wireless sensor network, the networks become more complex. Original synchronicity algorithms may not work efficiently for complex mesh network. In this paper, we present a new firefly-inspired stochastic coupled synchronicity strategy with simplified discrete phase model in wireless sensor network. It is a software-based strategy, which can more fully utilize the communication bandwidth and be insensitive to packet loss rate. First, this paper presents a simplified discrete phase model and the synchronicity strategy for details. The stability of this strategy is evaluated and the effects of varying parameters in the strategy are found out via analyzing simulation results. Furthermore, the experimental verification is implemented on JN5148 hardware platforms. Thus we demonstrate that our strategy can be used in time synchronicity effectively for distributed systems.
  • Keywords
    "Fires","Stochastic processes","Adaptation models","Couplings","Wireless sensor networks","Convergence","Stability analysis"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490919
  • Filename
    7490919