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Cascading failure and resilience optimization of unmanned vehicle distribution networks in IoT

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  • Dui, Hongyan
  • Zhang, Huanqi
  • Dong, Xinghui
  • Zhang, Songru

Abstract

With the development of science and technology, unmanned vehicles have become one of the main ways of distribution, and the appearance of unmanned vehicles undoubtedly brings great convenience to people. However, few researchers consider the cascading failure times for different situations in unmanned vehicle distribution networks. Especially, few researchers have integrated them into maintenance strategies to real-time path changes to increase the reliability of accomplishing distribution tasks and improve resilience after congestion. One of the key issues is how to improve the resilience of distribution network and what maintenance strategies should be developed. In this paper, cascading failures are analyzed and resilience is optimized in unmanned vehicle distribution network. First, cascading failures for different situations are analyzed, and two importance-based diversion methods are proposed to describe the three processes of congestion formation, persistence, and evacuation. Second, failure and performance degradation processes are investigated. Third, the Floyd time-varying resilience optimization algorithm is proposed, and the calculation method of resilience under different strategies is given. At last, simulation results show that the proposed strategy 3 improves the original resilience by 101 % compared with the traditional waiting path strategy.

Suggested Citation

  • Dui, Hongyan & Zhang, Huanqi & Dong, Xinghui & Zhang, Songru, 2024. "Cascading failure and resilience optimization of unmanned vehicle distribution networks in IoT," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:reensy:v:246:y:2024:i:c:s0951832024001455
    DOI: 10.1016/j.ress.2024.110071
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