International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2557

Full Length Research Paper

Dynamical analysis of clustering-based wireless sensor networks

Nan Jiang    
College of Information Engineering, East China Jiao Tong University Nanchang, Jiangxi, 330013, P. R. China.
Email: [email protected]

  •  Accepted: 07 June 2011
  •  Published: 02 October 2011


In wireless sensor networks (WSNs), clustering-based algorithms have been proved to be effective techniques to save energy and improve fault tolerance. In this paper, a scale-free evolving model for clustering-based WSNs with exponential growth behavior is presented, in which the nodes arrive as a Poisson process with rate λ. This model takes into account four types of evolving events: selection of cluster-head nodes, preferential attachment of non cluster-head nodes, failure of non cluster-head nodes, transition of non cluster-head nodes. By using continuum theory, the theoretical computing and simulated results show that the size distribution of cluster in this model follows a power law. The scale-free properties revealed in this model display a tempting application foreground.


Key words: Wireless sensor networks, continuum theory, scale-free, exponential growth behavior.