The development of unmanned aerial vehicle (UAV) swarm technology has opened up new possibilities for various applications, such as search and rescue, precision agriculture, and surveillance. However, the coordination of a large-scale UAV swarm is a complex task that requires intelligent, efficient, and scalable techniques. In recent years, the emergence of microservice architecture has provided a promising approach to addressing the challenges of UAV swarm coordination with intelligent techniques. In this paper, we first provide scenario analyses to demonstrate how intelligent microservices allow UAV swarm coordination more effective and efficient. Then, we present key technologies for UAV swarm coordination based on intelligent microservices. Specifically, we introduce our solutions to address the three main challenges, i.e., service split, service registration and discovery, and security and privacy in implementing the intelligent microservice-based UAV swarm coordination system. Finally, we present the possible future directions of this research area, i.e., optimization of computing resource allocation, integration of advanced AI algorithm, and human-UAV interaction.


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    Title :

    UAV Swarm Coordination Based on Intelligent Microservices


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:
    Zhao, Yan (author) / Wen, Pengcheng (author) / Bai, Linting (author) / Wang, Bin (author)

    Conference:

    China Aeronautical Science and Technology Conference ; 2023 ; Wuzhen, China September 26, 2023 - September 27, 2023



    Publication date :

    2023-12-20


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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