Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination

  • Liguo WENG
  • , Qingshan LIU
  • , Min XIA
  • , Y. D. SONG*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

46 Citations (Scopus)

Abstract

In this paper, we first investigate the fundamentals of the immune system and the principles of the antibodies and how antibodies work cooperatively to achieve swarm coordination and hence a successful immune response. Based on the study, we propose a multi-agent cooperative operation strategy for the immune system based on the immune network theory. In order to achieve successful swarm coordination, we design each agent to select its favorable strategy according to distributed sensing through local communication. Experiments show that this Immunology-inspired Cooperative Operation strategy performs well even under dynamically changing environment. Its effectiveness is also verified by numerical simulation on multiple unmanned aerial vehicle (UAV) coordination. © 2013 Elsevier B.V.
Original languageEnglish
Pages (from-to)134-141
Number of pages8
JournalNeurocomputing
Volume125
Early online date26 Mar 2013
DOIs
Publication statusPublished - 11 Feb 2014
Externally publishedYes

Funding

The work was supported in part by National Natural Science Foundations of China (No. 61134001) and the Major State Basic Research Development Program 973 (2012CB215202).

Keywords

  • Immune network
  • Swarm coordination
  • Swarm intelligence
  • UAVs

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