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Analysis on invulnerability of wireless sensor networks based on cellular automata

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  • Fu, Xiuwen
  • Yang, Yongsheng

Abstract

Existing failure models for wireless sensor networks (WSNs) usually focus on the impact of specific failure events on the network. However, the actual fault process of WSNs is driven by multiple fault events, and their failure behavior is more complex and unpredictable than that only considering specific events. Therefore, this paper proposes a more realistic failure model for WSNs based on cellular automata (CA), which considers energy exhaustion, hardware/software malfunctions and impaired connectivity. On this basis, we explore the network invulnerability under three attack strategies (i.e., random attacks, maximum-degree attacks and maximum-betweenness attacks). Moreover, we investigate the impact of sink node layout on network invulnerability by comparing three sink node layout schemes (i.e., random layout, degree-oriented layout and betweenness-oriented layout). Experimental results have shown that the maximum-betweenness attack strategy has the greatest damage to network invulnerability; in the face of wide-range attacks, isolation from the sink nodes is the main cause of node failures in WSNs; the betweenness-oriented layout performs better in terms of improving network invulnerability. The obtained results can provide theoretical guidance for users to build an invulnerable WSN.

Suggested Citation

  • Fu, Xiuwen & Yang, Yongsheng, 2021. "Analysis on invulnerability of wireless sensor networks based on cellular automata," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:reensy:v:212:y:2021:i:c:s0951832021001605
    DOI: 10.1016/j.ress.2021.107616
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    References listed on IDEAS

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    1. Chakraborty, Suparna & Goyal, N.K. & Mahapatra, S. & Soh, Sieteng, 2020. "A Monte-Carlo Markov chain approach for coverage-area reliability of mobile wireless sensor networks with multistate nodes," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Zhao, Guilin & Xing, Liudong, 2020. "Reliability analysis of IoT systems with competitions from cascading probabilistic function dependence," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    3. Fu, Xiuwen & Yang, Yongsheng, 2020. "Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
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    Cited by:

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    2. Fu, Xiuwen & Wang, Ye & Yang, Yongsheng & Postolache, Octavian, 2022. "Analysis on cascading reliability of edge-assisted Internet of Things," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    3. Zhang, Pei & Zhang, Zhen-Ji & Gong, Da-Qing, 2024. "An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
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    6. Wang, Ning & Xiao, Yiyong & Tian, Tianzi & Yang, Jun, 2023. "The optimal 5G base station location of the wireless sensor network considering timely reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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