A Novel Distributed Situation Awareness Consensus Approach for UAV Swarm Systems

This paper develops a novel approach to addressing the distributed situation awareness (SA) consensus problem for unmanned aerial vehicle (UAV) swarm systems. SA consensus is an important condition for gaining decision-making superiority. However, because of the complexity and antagonism of the mission environment, the widely employed centralized architectures are unable to reach a distributed consensus. The authors address this urgent issue by proposing a systematic distributed SA consensus scheme, including a distributed optimization-based consensus reaching model, dual-loop decision-making framework, and novel coordination algorithm. Necessarily, they conduct convergence analysis on the proposed algorithm. The effectiveness and superiority of the proposed method are verified by comparative simulations.

• Record URL:
  • http://dx.doi.org/10.1109/TITS.2023.3300871
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Hai, Xingshuo
  • Qiu, Huaxin
  • Wen, Changyun
  • Feng, Qiang
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 14706-14717
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 24
  • Issue Number: 12
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Alertness; Algorithms; Decision making; Drones
• Subject Areas: Aviation; Data and Information Technology; Vehicles and Equipment;

Filing Info

• Accession Number: 01911663
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 12 2024 9:32AM