A soft resource optimization method for improving the resilience of UAV swarms under continuous attack

Li, Hongxu; Sun, Qi; Zhong, Yuanfu; Huang, Zhiwen; Zhang, Yingchao

doi:10.1016/j.ress.2023.109368

Cited by 9 publications

(5 citation statements)

References 39 publications

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“…Refer to Ref. [29], the costs of UWSoS primarily consist of two parts: physical damage costs and energy consumption for task transmission. Firstly, adversaries can achieve the purpose of affecting or interrupting task delivery by destroying nodes or edges.…”

Section: Resilience Metric Of Uwsosmentioning

confidence: 99%

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A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments

Zhong,

Li,

Zhuang

2024

Eksploatacja i Niezawodność – Maintenance and Reliability

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Enhancing the battlefield resilience of unmanned weapon system-of-systems (UWSoS) through structural reconstruction requires scheduling additional physical resources. However, they are scarce in limited resource environments. To address the challenge of resource constraints, this paper focuses on improving the resilience of UWSoS by optimizing the operational chain of tasks after a disruption. First, a task-oriented resilience metric is proposed to characterize the impact of operational chain variations on UWSoS resilience. Based on this, a two-stage operational chain optimization model for UWSoS under limited resource environments is established, which considers the optimization actions of the edge node and rear command node in different resilience phases after the interruption for resilience enhancement. Finally, extensive simulation experiments validate the effectiveness and superiority of the proposed model. This work can support decision-makers in developing new task plans in disruption scenarios and serve as a transition approach to enhance UWSoS resilience.

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Section: Resilience Metric Of Uwsosmentioning

confidence: 99%

“…introduced an information exchange model for combat networks, which measured system resilience using variations in information gains received at each time step. Li et al [29]. evaluated the resilience of UAV swarms based on mission gains and route costs.…”

Section: Introductionmentioning

confidence: 99%

A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments

Zhong,

Li,

Zhuang

2024

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…Dong et al [12] used the Wiener process to perform reliability analysis for systems with two-stage degradation, which is informative for system maintenance decisions. Li et al [13] presented an evaluation method for resilience from a mission perspective to optimize the resilience of UAV swarms under sustained attack considering cost and benefit constraints. Dong et al [14] measured road driving performance based on link reliability and evaluated traffic network resilience.…”

Section: Literature Reviewmentioning

confidence: 99%

Redundancy-Based Resilience Optimization of Multi-Component Systems

2023

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Systems are damaged due to various disturbances, and the reliability of the systems is reduced. Measures to improve system resilience need to be studied since many systems still need to operate normally after suffering damage. In this paper, the whole process of the disturbance and recovery of the system is considered, and a resilience optimization model of a multi-component system is proposed. Firstly, a system resilience assessment method is proposed based on system reliability, and the system resilience loss is used as the resilience assessment index. Secondly, two component importance indexes, loss importance and recovery importance, are proposed for the system disturbance phase and recovery phase, respectively. The two importance indexes are weighted to obtain the weighted importance so as to measure the change law of system resilience and determine the influence degrees of components on system reliability. Then, under the constraint of maintenance time, an optimization model is established to determine a redundancy strategy to maximize system resilience. Finally, through an example analysis of a wind turbine system with its main components, it is verified that the redundancy strategy proposed with this method can reduce the loss of system resilience and effectively improve system reliability.

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“…The unmanned ship system resilience assessment is a more comprehensive and effective assessment of the ability of the unmanned ship to withstand an attack, following the reliability and robustness analyses. Li et al (2023) proposed a dynamic resilience assessment framework for UAV swarms considering battlefield surveillance missions. Considering the resilience of unmanned ship ships leads to maintenance and optimization, which requires the involvement of redundant unmanned ships (Eriksen et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The static analysis process was perfect, but the analysis of the dynamic process was lacking. Li et al (2023) proposed a resilience measure that incorporates costs and benefits. Dui et al (2023b) proposed a performance improvement strategy based on Internet of Things technology.…”

Section: Introductionmentioning

confidence: 99%

Importance-based Resilience Assessment and Optimization of Unmanned Ship Swarm System

Dui,

Zhang,

Xia

2024

Int. j. math. eng. manag. sci.

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Based on the unmanned ship swarm system, a resilience model for unmanned ship swarms is proposed by comprehensively considering the preventive indicators, robustness indicators, recoverability indicators, and reconfigurability indicators of the swarm system. Firstly, preventive and robust indicators are proposed based on the characteristics of the unmanned ship swarm system, and the improvement of system performance efficiency by redundant unmanned ships is established as a recoverability indicator. Then, reconfigurable indicators are proposed based on importance, and the resilience indicator of the unmanned ship swarm is determined. Finally, a numerical example is used to model and simulate the performance change and capricious process of the unmanned ship swarm. Most of the research on the resilience assessment model of unmanned ship swarms considered too single indicators. The model of the unmanned ship swarm under attack is constructed, and the superiority of the resilience optimization strategy proposed in this paper is verified.

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A soft resource optimization method for improving the resilience of UAV swarms under continuous attack

Cited by 9 publications

References 39 publications

A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments

A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments

Redundancy-Based Resilience Optimization of Multi-Component Systems

Importance-based Resilience Assessment and Optimization of Unmanned Ship Swarm System

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