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A satisficing conflict resolution approach for multiple UAVs

Yumeng Li, Wenbo Du*, Peng Yang, Tianhang Wu, Jun Zhang, Dapeng Wu, Matjaz Perc

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we are concerned with exploring the theoretically and technically research outcomes for the conflict resolution (CR) of multiple unmanned aerial vehicles (UAVs) by using the Internet of Things technologies. We propose a satisficing algorithm to mitigate the CR problem of multiple UAVs. Specifically, we first formulate the CR problem as a game model and design strategies of the game model based on flight characteristics of UAVs. Next, a satisficing game theory is used to mitigate the formulated problem. Furthermore, required time of arrival, which is a new judgment parameter of the strategy utility, is developed to ensure that the whole system can reach a socially acceptable compromise. Simulation results verify the effectiveness and adaptability of the proposed algorithm under complex environments.
Original languageEnglish
Article number8561168
Pages (from-to)1866-1878
JournalIEEE Internet of Things Journal
Volume6
Issue number2
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Conflict resolution (CR)
  • cooperative control
  • satisficing game theory

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