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In the future, large-scale UAV clustering is a significant development direction, and the resource management and network performance of UAV clusters can be improved through clustering, but due to some unique characteristics of UAVs, the existing clustering-based routing protocols for traditional MANET and VANET cannot be directly applied to UAV self-assembly networks, so the cluster management of large-scale unmanned self-assembly networks needs further optimization research.
It can be considered in two ways, (1) artificial intelligence can be considered to be applied to the clustering algorithm of UAVs, such as optimizing the formation of clusters and the selection of cluster heads, and achieving high-speed node localization, in order to make the clusters lifetime longer and the network as a whole consume less energy and perform better. (2) Intelligent UAV clusters based on the intelligent behavior of biological swarms.
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IEEE/ICACT20220096 Slide.15
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