Cooperative Evolution Mechanism of Unmanned Swarm within the Framework of Public Goods Game

Yu, Manzhu; He, Miao; Ma, Ziyu; Zou, Mingguang; Wan, Lei; Kang, Kai

doi:10.1155/2021/5575815

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…The influences of parameters such as benefit coefficient, vision level, strategy number, and cost on the level of swarm cooperation were analyzed, and reasonable suggestions for effective responses to diversity selection in unmanned swarm operations were provided. In [23], a collaborative evolution mechanism was proposed within the framework of a multiplayer public product game to solve the autonomous collaboration problem of unmanned clusters in the event of centralized control failure. To address the problem of autonomous cooperation of unmanned swarms in confrontation operations, [24] proposed a coordinated control method for a structured unmanned swarm based on an evolutionary game.…”

Section: Related Workmentioning

confidence: 99%

“…In [20], a dynamic resource allocation method based on a cooperative competition mechanism was proposed to address the challenging technical problem of dynamic resource allocation in UAV swarm mission planning. In [21], the dominant conditions of the unmanned operation cluster strategy were theoretically deduced and analyzed based on the evolutionary game framework of multiple public goods. The results of this analysis provided suggestions for realizing the dominant strategy of unmanned cluster cooperation, which supports the mechanism design of unmanned cluster operations.…”

Section: Related Workmentioning

confidence: 99%

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Evolutionary game analysis of behaviour strategy for UAV swarm in communication‐constrained environments

Hu,

Ru,

et al. 2023

IET Control Theory & Appl

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In the process of unmanned aerial vehicles (UAV) cluster coordination, communication obstruction may cause situational misjudgement and increase the risk of decision‐making errors. Therefore, based on evolutionary game theory, this research aimed to study the behaviour decision‐making selection problem in the process of UAV swarm missions in limited communication networks. First, the evolution process of the UAV swarm confrontation game is analyzed and the decision‐making risks associated with the communication network of the UAV swarm during coordination, which are caused by the complex confrontation environment are identified. Second, the decision‐making risks and mechanisms of UAV swarm communication is discussed and an evolutionary game mathematical model for the cooperative strategy of a UAV swarm under communication constraints is established. Finally, the influence of various key parameters is simulated and analyzed, such as the initial strategy probability of both parties, amount of platform information data, information analysis and utilization ability, and information interaction coefficient, on the evolution of the UAV swarm strategy. This research provides a theoretical basis and feasible reference for the improvement of UAV mission decision response mechanisms and system model construction, which have important theoretical value and practical significance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Evolutionary game analysis of behaviour strategy for UAV swarm in communication‐constrained environments

Hu,

Ru,

et al. 2023

IET Control Theory & Appl

View full text Add to dashboard Cite

show abstract

“…In our previous work, we explored the collaboration and resource optimization allocation mechanism in unmanned swarms and deduced the strategy abundance function and conditions for strategy dominance in unmanned swarms based on evolutionary game theory 10 – 16 . Based on the previous achievements, the present study was carried out in three aspects.…”

Section: Introductionmentioning

confidence: 99%

A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks

Pan

et al. 2022

Sci Rep

Self Cite

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Intelligent and coordinated unmanned aerial vehicle (UAV) swarm combat will be the main mode of warfare in the future, and mechanistic design of autonomous cooperation within swarms is the key to enhancing combat effectiveness. Exploration of the essential features and patterns of autonomous collaboration in unmanned swarms has become the focus of scientific research and technological applications, in keeping with the evolving conceptions of the military theatre. However, given the unique attributes of the military and the novelty of the warfare mode of unmanned swarms, few achievements have been reported in the existing research. In this study, we analysed the military requirements of unmanned swarm operations and proposed an analytic framework for autonomous collaboration. Then, a literature review addressing swarm evolution dynamics, game-based swarm collaboration, and collaborative evolution on complex networks was conducted. Next, on the basis of the above work, we designed a community network for unmanned swarm cooperation and constructed a collaborative evolution model based on the multiplayer public goods game (PGG). Furthermore, according to the “network” and “model”, the dynamic evolution process of swarm collaboration was formally deduced. Finally, a simulation was conducted to analyse the influence of relevant parameters (i.e., swarm size, degree distribution, cost, multiplication factor) on the collaborative behaviour of unmanned swarms. According to the simulation results, some reasonable suggestions for collaborative management and control in swarm operation are given, which can provide theoretical reference and decision-making support for the design of coordination mechanisms and improved combat effectiveness in unmanned swarm operation.

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Dynamic resource allocation of UAV swarms based on cooperative and competitive public goods game

Wang¹,

Duan²,

Chen³

2022

Sci. Sin.-Inf.

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Cooperative Evolution Mechanism of Unmanned Swarm within the Framework of Public Goods Game

Cited by 4 publications

References 41 publications

Evolutionary game analysis of behaviour strategy for UAV swarm in communication‐constrained environments

Evolutionary game analysis of behaviour strategy for UAV swarm in communication‐constrained environments

A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks

Dynamic resource allocation of UAV swarms based on cooperative and competitive public goods game

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