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.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Suresh, M., Ghose, D.: UAV grouping and coordination tactics for ground attack missions. IEEE Trans. Aerosp. Electron. Syst. 48(1), 673–692 (2012)
Elloumi, S.: An efficient linearization for the constrained task allocation problem. Appl. Spectrosc. 56(9), 1170–1175 (2015)
Li, J., Han, Y.: Optimal resource allocation for packet delay minimization in multi-layer UAV networks. IEEE Commun. Lett. 21(3), 580–583 (2017)
Hu, X., Wang, G., Jiang, L., Ding, S., He, X.: Towards efficient learning using double-layered federation based on traffic density for internet of vehicles. In: WISA 2021, pp. 287–298 (2021)
Liu, L., Michael, N., Shell, D.A.: Communication constrained task allocation with optimized local task swaps. Auton. Robot. 39(3), 429–444 (2015)
Li, J., Cao, X., Guo, D., Xie, J., Chen, H.: Task scheduling with UAV-assisted vehicular cloud for road detection in highway scenario. IEEE Internet Things J. 7(8), 7702–7713 (2020)
George, J.M., Sujit, P.B., Sousa, J.B., et al.: Search strategies for multiple UAV search and destroy missions. J. Intell. Rob. Syst. 61(1), 355–367 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-20309-1_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20308-4
Online ISBN: 978-3-031-20309-1
eBook Packages: Computer ScienceComputer Science (R0)