Dynamical analysis of clustering-based wireless sensor networks

International Journal of Physical Sciences

Nan Jiang¹ 

关键词: Wireless sensor networks;    continuum theory;    scale-free;    exponential growth behavior.;   

DOI  :  10.5897/IJPS11.770

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

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.

【 授权许可】

CC BY