Weighted network model with high clustering and balancing energy consumption characteristics
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1.Institute of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,China;2.The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Yanshan University, Qinhuangdao 066004, China;3. Institute of Electronical Engineering,Yanshan University,Qinhuangdao 066004,China

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TP393TH165+.3

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    Abstract:

    In view of the phenomenon of clustering effect and energy constraints, a weighted scalefree network model is propsoed with high clustering and balanced energy consumption characteristics,in which the relationship between node energy and node weights is modeled. In the evolution process, a new edge weight is established with the probability according to the triad formation mechanism and with the probability according to weight priority connection mechanism. Therefore, the energy factor balances the network energy consumption , and the triad formation improves the clustering coefficient of the network, and then improves the faulttolerance of the network. Theoretical proof shows that the distribution of the node weight and the node degree of the network all obey the powerlaw distribution. Simulation results indicate that the proposed model has a high clustering coefficient and great fault tolerance performance, and balanced network energy consumption. Moreover, the energy balance of the model is verified by the real test experiments.

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  • Received:
  • Revised:
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  • Online: July 20,2017
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