Complexity · 2018 · 21 citations · 25 references
EngineeringNetwork RobustnessNetwork AnalysisSensor ConnectivityNetwork SurvivabilityHardware SecurityReliability EngineeringNetwork TopologiesWireless SecuritySystems EngineeringWireless SystemsFailure DetectionTopology ControlNetworksWireless NetworkingRandom AttackFault-tolerant NetworkNetwork ScienceFault ManagementSurvivable NetworkCoupled Map LatticeRandom Network
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 R c and ε c exist, where cascading failures will spread to the entire network when R > R c or ε > ε c . 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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Renormalization group analysis of the small-world network model
M. E. J. Newman, Duncan J. Watts · Physics Letters A · 1999 · 1.4K citations · Full text
Shan Lin, Jingbin Zhang, Gang Zhou et al. · 2006 · 536 citations
Topology Control, Energy Harvesting, Static Transmission Power +9