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Modeling and analyzing cascading dynamics of the clustered wireless sensor network

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  • Fu, Xiuwen
  • Yao, Haiqing
  • Yang, Yongsheng

Abstract

Although some progress has been made in studying the invulnerability of wireless sensor networks (WSNs) against cascading failures, they only consider the impact of network topology on network invulnerability, and do not consider the impact of routing protocols, which makes these studies unable to correctly reflect the traffic characteristics of WSNs. In this work, we construct a cascading model for clustered WSN and proposed a congestion-aware routing recovery mechanism. In this model, the load function is defined on each node according to the real-time number of data packets, and the overload function is defined on the basis of the congestion state of each node. The overloaded node can recover after a certain time delay, instead of being deleted permanently from the network. We analyzed the impact of key parameters and evaluate the performance of several typical clustered routing protocols from the perspective of cascading invulnerability. The simulation results show that the network invulnerability is positively correlated with overload tolerance coefficient and negatively correlated with congestion tolerance coefficient, and the extension of recovery time can aggravate the fluctuation of the cascading process. In addition, balancing the cluster size and putting the sink node near the center of the deployment area can help the network reduce the risks of cascading failures. By introducing routing recovery mechanism into existing clustered routing protocols, the network is able to recover in a few steps.

Suggested Citation

  • Fu, Xiuwen & Yao, Haiqing & Yang, Yongsheng, 2019. "Modeling and analyzing cascading dynamics of the clustered wireless sensor network," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 1-10.
    • Handle: RePEc:eee:reensy:v:186:y:2019:i:c:p:1-10
    DOI: 10.1016/j.ress.2019.02.009
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    1. Zhu, Qian & Nie, Jianlong & Zhu, Zhiliang & Yu, Hai & Xue, Yang, 2018. "Modeling and analyzing cascading dynamics of the Internet based on local congestion information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 298-309.
    2. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Robustness of assembly supply chain networks by considering risk propagation and cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 129-139.
    3. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2017. "AC power flow importance measures considering multi-element failures," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 89-97.
    4. Peng, Xingzhao & Yao, Hong & Du, Jun & Wang, Zhe & Ding, Chao, 2015. "Invulnerability of scale-free network against critical node failures based on a renewed cascading failure model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 69-77.
    5. Salim, Nur Ashida & Othman, Muhammad Murtadha & Musirin, Ismail & Serwan, Mohd Salleh & Busan, Stendley, 2017. "Risk assessment of dynamic system cascading collapse for determining the sensitive transmission lines and severity of total loading conditions," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 113-128.
    6. He, Xian & Cha, Eun Jeong, 2018. "Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 162-175.
    7. Azzolin, Alberto & Dueñas-Osorio, Leonardo & Cadini, Francesco & Zio, Enrico, 2018. "Electrical and topological drivers of the cascading failure dynamics in power transmission networks," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 196-206.
    8. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "Estimation of rare event probabilities in power transmission networks subject to cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 9-20.
    9. Yin, Rong-Rong & Liu, Bin & Liu, Hao-Ran & Li, Ya-Qian, 2014. "The critical load of scale-free fault-tolerant topology in wireless sensor networks for cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 8-16.
    10. Xiuwen Fu & Yongsheng Yang & Haiqing Yao, 2018. "Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice," Complexity, Hindawi, vol. 2018, pages 1-14, January.
    11. Wang, Jianwei & Rong, Lili & Zhang, Liang & Zhang, Zhongzhi, 2008. "Attack vulnerability of scale-free networks due to cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6671-6678.
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