Design and Implementation of Task Description Language for UAV Swarms

Wei, Jia; Ni, Jinting; Yang, Gang; Wang, Ruizhe; Yao, Yuan; Wu, Wenliang

doi:10.1109/icus55513.2022.9987001

Cited by 2 publications

(1 citation statement)

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“…Current research methodologies in UAV swarm cooperative networks often fall short in meeting the real-time needs of large-scale UAV swarms and intricate dynamic environments [14][15][16][17]. Typically, these methods rely on fixed network topologies and predefined UAV states, which are subject to continual variation in real-world settings [18].…”

Section: Introductionmentioning

confidence: 99%

Distributed Computing Optimization in Unmanned Aerial Vehicle Swarm Cooperative Networks

Luo,

Zhang,

Shi

et al. 2024

CIT. J. comput. inf. technol

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The Unmanned Aerial Vehicle (UAV) swarm cooperative networks across diverse domains present significant challenges in management and control to maximize collaborative efficiency, particularly in applications for large-scale and dynamic environments where real-time coordination is essential. This challenge has led to the development of a UAV swarm cooperative network flow prediction model, facilitating the strategic anticipation of network dynamics. A novel algorithm for distributed, finite-time cooperative control is introduced, grounded in this model. This algorithm optimizes the operational efficiency and control precision of UAV systems, while simultaneously augmenting the collaborative efficiency and stability of the UAV swarms. It marks a significant advancement in distributed computing strategies, offering a viable solution for the real-time coordination challenges in extensive UAV swarm cooperative networks. The proposed approach leverages multi-agent technology, integrating spatial-temporal constraints, location limitations, and path selection in cooperative behavior for dynamic and effective network management. This study not only enhances the understanding of UAV swarm dynamics but also contributes to the practical application of UAV swarms in areas requiring precise coordination and robust network stability.

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