Skip to main navigation Skip to search Skip to main content

Agent-based analysis of multi-UAV area monitoring mission effectiveness

  • Ruiwen Zhang
  • , Bifeng Song
  • , Yang Pei
  • , Wei Tang
  • , Meng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper presents an agent-based analysis for the mission effectiveness of multi-UAV area monitoring. An agent-based operational model is presented for an exemplary offshore area monitoring mission. For modeling sensing behaviors of agents, a concept of information-domain delegate agent is proposed to model the detection, tracking, and fusion of ground moving target indication (GMTI) radar, and the Cramér–Rao Lower Bound (CRLB) is used to quantify the accuracy of tracking. A measure of awareness based on information entropy is proposed to evaluate the effectiveness, and Monte Carlo simulations are conducted to analyze the variation of awareness over time and the effects of deployment parameters on awareness. Results show that, the variation of awareness over time is characterized by randomness and discontinuity, and lower cruise velocity along with higher flight altitude is preferred for improving the overall awareness.

Original languageEnglish
Title of host publicationAIAA Modeling and Simulation Technologies Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-10
Number of pages10
ISBN (Print)9781624104510
StatePublished - 2017
EventAIAA Modeling and Simulation Technologies Conference, 2017 - Grapevine, United States
Duration: 9 Jan 201713 Jan 2017

Publication series

NameAIAA Modeling and Simulation Technologies Conference, 2017
Volume0

Conference

ConferenceAIAA Modeling and Simulation Technologies Conference, 2017
Country/TerritoryUnited States
CityGrapevine
Period9/01/1713/01/17

Fingerprint

Dive into the research topics of 'Agent-based analysis of multi-UAV area monitoring mission effectiveness'. Together they form a unique fingerprint.

Cite this