Software-Defined Networking for Flying Ad-hoc Network Security: A Survey

Abdelhafidh, Maroua; Charef, Nadia; Mnaouer, Adel Ben; Fourati, Lamia Chaari

doi:10.1109/smarttech54121.2022.00057

Cited by 3 publications

(1 citation statement)

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“…These networks bolster system redundancy and robustness, ensuring stability and reliability even in the event of individual UAV failures [12]. Moreover, optimizing distributed computing strategies within such networks is fundamental to augmenting the execution efficiency and control precision of UAV systems, catering to the requirements of more complex and advanced scenarios [13].…”

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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Section: Introductionmentioning

confidence: 99%