Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice

Previous research of wireless sensor networks (WSNs) invulnerability mainly focuses on the static topology, while ignoring the cascading process of the network caused by the dynamic changes of load. Therefore, given the realistic features of WSNs, in this paper we research the invulnerability of WSN...

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Main Authors: Xiuwen Fu, Yongsheng Yang, Haiqing Yao
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/6386324
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author Xiuwen Fu
Yongsheng Yang
Haiqing Yao
author_facet Xiuwen Fu
Yongsheng Yang
Haiqing Yao
author_sort Xiuwen Fu
collection DOAJ
description Previous research of wireless sensor networks (WSNs) invulnerability mainly focuses on the static topology, while ignoring the cascading process of the network caused by the dynamic changes of load. Therefore, given the realistic features of WSNs, in this paper we research the invulnerability of WSNs with respect to cascading failures based on the coupled map lattice (CML). The invulnerability and the cascading process of four types of network topologies (i.e., random network, small-world network, homogenous scale-free network, and heterogeneous scale-free network) under various attack schemes (i.e., random attack, max-degree attack, and max-status attack) are investigated, respectively. The simulation results demonstrate that the rise of interference R and coupling coefficient ε will increase the risks of cascading failures. Cascading threshold values Rc and εc exist, where cascading failures will spread to the entire network when R>Rc or ε>εc. When facing a random attack or max-status attack, the network with higher heterogeneity tends to have a stronger invulnerability towards cascading failures. Conversely, when facing a max-degree attack, the network with higher uniformity tends to have a better performance. Besides that, we have also proved that the spreading speed of cascading failures is inversely proportional to the average path length of the network and the increase of average degree k can improve the network invulnerability.
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institution Kabale University
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spelling doaj-art-2e29aeedd84a46a5ad2f8b6f324854632025-02-03T05:54:23ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/63863246386324Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map LatticeXiuwen Fu0Yongsheng Yang1Haiqing Yao2Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, ChinaInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, ChinaInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, ChinaPrevious research of wireless sensor networks (WSNs) invulnerability mainly focuses on the static topology, while ignoring the cascading process of the network caused by the dynamic changes of load. Therefore, given the realistic features of WSNs, in this paper we research the invulnerability of WSNs with respect to cascading failures based on the coupled map lattice (CML). The invulnerability and the cascading process of four types of network topologies (i.e., random network, small-world network, homogenous scale-free network, and heterogeneous scale-free network) under various attack schemes (i.e., random attack, max-degree attack, and max-status attack) are investigated, respectively. The simulation results demonstrate that the rise of interference R and coupling coefficient ε will increase the risks of cascading failures. Cascading threshold values Rc and εc exist, where cascading failures will spread to the entire network when R>Rc or ε>εc. When facing a random attack or max-status attack, the network with higher heterogeneity tends to have a stronger invulnerability towards cascading failures. Conversely, when facing a max-degree attack, the network with higher uniformity tends to have a better performance. Besides that, we have also proved that the spreading speed of cascading failures is inversely proportional to the average path length of the network and the increase of average degree k can improve the network invulnerability.http://dx.doi.org/10.1155/2018/6386324
spellingShingle Xiuwen Fu
Yongsheng Yang
Haiqing Yao
Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
Complexity
title Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
title_full Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
title_fullStr Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
title_full_unstemmed Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
title_short Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice
title_sort analysis on invulnerability of wireless sensor network towards cascading failures based on coupled map lattice
url http://dx.doi.org/10.1155/2018/6386324
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AT yongshengyang analysisoninvulnerabilityofwirelesssensornetworktowardscascadingfailuresbasedoncoupledmaplattice
AT haiqingyao analysisoninvulnerabilityofwirelesssensornetworktowardscascadingfailuresbasedoncoupledmaplattice