Overview of Swarm Systems’ Anatomy. Interaction Problem

Author:

,Kravchuk O.A.,Samoilov V.D.,

Abstract

The article reveals modern approaches to building a swarm system with an emphasis on the swarm of unmanned aerial vehicles. The main components of the architecture of the swarming system were considered: swarming model, communication network, control system. The differ-ence between the principles of controlling individual UAV and a large group (swarm) of UAVs is considered. The importance and necessity of further development of methods and systems for managing swarm systems is outlined.

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)

Reference41 articles.

1. Giles, K., & Giammarco, K. (2017). Mission-based architecture for swarm composability (MASC). Procedia Computer Science, 114, 57- https://doi.org/10.1016/j.procs.2017.09.005.

2. Beni, G., & Wang, J. (1993). Swarm intelligence in cellular robotic systems. In Robots and biological systems: Towards a new bionics? (pp. 703-712). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-58069-7_38.

3. Kadrovach, B.A. (2003). A communications modeling system for swarm-based sensors [Ph.D. Dissertation, Air Force Institute of Technology, USA]. https://scholar.afit.edu/etd/4130.

4. Finn, A., & Scheding, S. (2010). Developments and challenges for autonomous unmanned vehicles: A compendium. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-10704-7.

5. Dekker, A. (2008). A taxonomy of network centric warfare architectures. Defence Sciences & Technology Organisation, DSTO Fern Hill, Department of Defence, Canberra ACT 2600, Australia. https://apps.dtic.mil/sti/pdfs/ADA488254.pdf.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3