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  • 标题:A Local-world Evolving Model for WSNs with the Self-regulating Attractiveness
  • 本地全文:下载
  • 作者:Jiang, Nan ; Guo, Yan ; He, Yueshun
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:7
  • 页码:1790-1797
  • DOI:10.4304/jnw.9.7.1790-1797
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Energy efficiency and fault-tolerant mechanism are two important issues in the research field of the WSNs. How to build the topological structure to improve the fault-tolerant ability and decrease the energy consumption is a puzzle for the researchers. In this paper, we take the complex network as a research instrument and use the scale-free feature to improve the robustness of the network. Besides, based on the more energy-efficient local world evolving model, through dynamic self-regulation of the node’s attractiveness, we reach the target of prolonging the network lifetime. The last but not least, the simulation result indicates that our model indeed effectively controls the excessive inflation of the node degree under the precondition of maintaining the scale-free feature. So our model makes definite sense to the research of topological structure in the WSNs.
  • 关键词:WSNs;Complex Network;Scale-Free;Attractiveness
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