Abstract
In modern warfare, cooperative operations of multiple UAVs has become a trend and been valued by various countries. However, as the numbers of UAVs increases, the cost of computing resources for the existing cooperative planning algorithm of multiple UAVs will increase exponentially, which is a heavy burden for hardware. In order to utilize the existing military electronic information system resources to complete the cooperative planning of multiple UAVs, this paper firstly proposes a dynamic configurable cooperative planning architecture and parallel processing method to meet the requirement of cooperative route planning. Then a dynamic load balancing route planning processing algorithm is designed, which can solve the problem of unbalanced load of each processing nodes in multi-computer system when the routing points are unevenly distributed in battlefield space. In the end, the experimental results show that the proposed method can significantly reduce the processing delay of multi-UAV route planning and improve the acceleration ratio of parallel processing.
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Liu, X., Wang, K., Fan, X., Xiong, Z., Tong, X., Dong, B. (2022). A Route Planning Method of UAV Based on Multi-aircraft Cooperation. In: Zhao, X., Yang, S., Wang, X., Li, J. (eds) Web Information Systems and Applications. WISA 2022. Lecture Notes in Computer Science, vol 13579. Springer, Cham. https://doi.org/10.1007/978-3-031-20309-1_38
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DOI: https://doi.org/10.1007/978-3-031-20309-1_38
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