A multitask-based flexible networking and resource scheduling algorithm for UAV swarm

Yongguang Liu

doi:10.1117/12.2611351

14 October 2021 A multitask-based flexible networking and resource scheduling algorithm for UAV swarm

Yongguang Liu

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119300H (2021) https://doi.org/10.1117/12.2611351
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

At present, the related research on UAV swarm resource scheduling pays attention to static mathematical modeling but can not adapt to the dynamic application, and pays attention to the assignment of tasks without considering the influencing factors of the network. This restricts the application of these studies in practice. In view of these problems, this paper proposes a resource scheduling algorithm for flexible networking, which establishes a UAV scheduling mechanism and a flexible networking strategy based on task requirements. The resource scheduling decision node is selected by betweeness centrality computing based on network topology. The simulation shows that the algorithm can flexibly schedule resources between task colonies according to demand, and effectively improve the utilization rate of resources.

Citation Download Citation

Yongguang Liu "A multitask-based flexible networking and resource scheduling algorithm for UAV swarm", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119300H (14 October 2021); https://doi.org/10.1117/12.2611351

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available