Modeling the dynamics of fault propagation in complex dynamical network by considering the heterogeneity of nodes

The process of fault propagation and study the dynamic behavior in complex dynamical network is modelled in this paper. A fault resistance factor and a weight factor of repair probability are defined to denote the heterogeneity of nodes. The effects of the key model parameters on the fault propagation dynamics are studied by numerical simulations with reference to the number of failed nodes, the fraction of nodes in the largest network component and the fault propagation cycle. Moreover, the node vulnerability is explored for different communication radiuses. The results obtained in the study show that the fault propagation dynamics will be affected by some parameters, such as communication radius, node density and moving speed. Hence, we should limit these parameters within a certain ranges so as to limit the fault propagation and reduce the loss caused by it.

[1]  Sheng Hong,et al.  Suppressing failure cascades in interconnected networks: Considering capacity allocation pattern and load redistribution , 2016 .

[2]  Sheng Hong,et al.  Performance Degradation Assessment for Bearing Based on Ensemble Empirical Mode Decomposition and Gaussian Mixture Model , 2014 .

[3]  Sheng Hong,et al.  A new assessment method for the comprehensive stealth performance of penetration aircrafts , 2011 .

[4]  Zengqiang Chen,et al.  EPIDEMICS OF SIRS MODEL WITH NONUNIFORM TRANSMISSION ON SCALE-FREE NETWORKS , 2009 .

[5]  Sheng Hong,et al.  Failure cascade in interdependent network with traffic loads , 2015 .

[6]  Remco van der Hofstad,et al.  Random Graphs and Complex Networks , 2016, Cambridge Series in Statistical and Probabilistic Mathematics.

[7]  Sebastian E. Ahnert,et al.  Revealing and exploiting hierarchical material structure through complex atomic networks , 2017, npj Computational Materials.

[8]  Enrico Zio,et al.  An adaptive method for health trend prediction of rotating bearings , 2014, Digit. Signal Process..

[9]  Denny Borsboom,et al.  Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model. , 2016, Psychological review.

[10]  Sheng Hong,et al.  Epidemic spreading model of complex dynamical network with the heterogeneity of nodes , 2016, Int. J. Syst. Sci..

[11]  Enrico Zio,et al.  Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method , 2014, Digit. Signal Process..

[12]  H. Bakht Routing protocols for mobile ad hoc networks , 2005 .

[13]  Min Wu,et al.  Propagation model of smartphone worms based on semi-Markov process and social relationship graph , 2014, Comput. Secur..

[14]  Bimal Kumar Mishra,et al.  Dynamic model of worm propagation in computer network , 2014 .

[15]  Kishor S. Trivedi,et al.  Analysis of propagation dynamics in complex dynamical network based on disturbance propagation model , 2014 .

[16]  Bo Zhang,et al.  Applying probability control to cognitive CDMA communication system for anti-interference , 2013 .

[17]  Monika Grajzer,et al.  Fault Propagation Model for Ad Hoc Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[18]  Ju H. Park,et al.  Adaptive lag synchronization for uncertain complex dynamical network with delayed coupling , 2012, Appl. Math. Comput..

[19]  Ho-Youl Jung,et al.  Synchronization of a delayed complex dynamical network with free coupling matrix , 2012 .

[20]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[21]  Suleyman Kondakci Epidemic state analysis of computers under malware attacks , 2008, Simul. Model. Pract. Theory.

[22]  M. Tentzeris,et al.  Characterization of Extraordinary Transmission for a Single Subwavelength Slit: A Fabry-Pérot-Like Formula Model , 2010, IEEE Transactions on Microwave Theory and Techniques.

[23]  R. Albert,et al.  The large-scale organization of metabolic networks , 2000, Nature.

[24]  Jiajia Wang,et al.  SIRaRu rumor spreading model in complex networks , 2014 .

[25]  Sheng Hong,et al.  Cascading failure analysis and restoration strategy in an interdependent network , 2016 .

[26]  Enrico Zio,et al.  A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network , 2014, Appl. Math. Comput..

[27]  Hongtao Lu,et al.  Generalized projective synchronization between two different general complex dynamical networks with delayed coupling , 2010 .

[28]  H. Jónsson,et al.  Generalized Pipek-Mezey orbital localization method for electronic structure calculations employing periodic boundary conditions , 2016 .