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An agent‐based simulation for multi‐UAVs coordinative sensing

An agent‐based simulation for multi‐UAVs coordinative sensing Purpose – The purpose of this paper is to present a model developed for emergent formation of multi‐unmanned aerial vehicles (UAVs) into functional teams that cooperatively complete a mission in which they search for specific mobile targets and escape obstacles. Design/methodology/approach – The design and development of distributed UAVs simulator use agent‐based platform employing a decentralized control which follows the flocking behavior‐based design philosophy. Findings – The results of the simulation indicate that the emergent behavior‐based search procedure for UAVs is autonomous, effective and robust. It is especially well suited for emergent teams to quickly solve dynamic teaming and task allocation. Practical implications – The development of a UAV is expensive, and a small error in automatic control results in a crash. Therefore, the platform is useful to develop and verify the coordination behavior of UAVs through software simulation prior to real testing. Originality/value – The proposed emergent behavior simulated environment is working on an agent‐based UAV simulated platform, and hence, it naturally adapts to the behavior of a distributed and concurrent situation. The authors' can easily improvise the execution environment without changing the UAV simulator. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Intelligent Computing and Cybernetics Emerald Publishing

An agent‐based simulation for multi‐UAVs coordinative sensing

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1756-378X
DOI
10.1108/17563780810874744
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present a model developed for emergent formation of multi‐unmanned aerial vehicles (UAVs) into functional teams that cooperatively complete a mission in which they search for specific mobile targets and escape obstacles. Design/methodology/approach – The design and development of distributed UAVs simulator use agent‐based platform employing a decentralized control which follows the flocking behavior‐based design philosophy. Findings – The results of the simulation indicate that the emergent behavior‐based search procedure for UAVs is autonomous, effective and robust. It is especially well suited for emergent teams to quickly solve dynamic teaming and task allocation. Practical implications – The development of a UAV is expensive, and a small error in automatic control results in a crash. Therefore, the platform is useful to develop and verify the coordination behavior of UAVs through software simulation prior to real testing. Originality/value – The proposed emergent behavior simulated environment is working on an agent‐based UAV simulated platform, and hence, it naturally adapts to the behavior of a distributed and concurrent situation. The authors' can easily improvise the execution environment without changing the UAV simulator.

Journal

International Journal of Intelligent Computing and CyberneticsEmerald Publishing

Published: Jun 6, 2008

Keywords: Emergent strategy; Sensors; Intelligent agents; Computer applications; Aerial equipment

References